Statistical Properties of Real Financial Markets and Virtual Prognosis Markets: An Empirical Comparison of Selected Statistical Properties in Financial and Virtual Markets 42,50 EUR* ...
Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions. If empirical data reach significance under the appropriate statistical formula, the research hypothesis is supported. If not, the null hypothesis is supported (or, more accurately, not rejected), meaning no effect of the independent variable(s) was observed on the dependent variable(s). The outcome of empirical research using statistical hypothesis testing is never proof. It can only support a hypothesis, reject it, or do neither. These methods yield only probabilities. Among scientific researchers, empirical evidence (as distinct from empirical research) refers to objective evidence that appears the same regardless of the observer. For example, a thermometer ...
Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions. If empirical data reach significance under the appropriate statistical formula, the research hypothesis is supported. If not, the null hypothesis is supported (or, more accurately, not rejected), meaning no effect of the independent variable(s) was observed on the dependent variable(s). The outcome of empirical research using statistical hypothesis testing is never proof. It can only support a hypothesis, reject it, or do neither. These methods yield only probabilities. Among scientific researchers, empirical evidence (as distinct from empirical research) refers to objective evidence that appears the same regardless of the observer. For example, a thermometer ...
Cumpără cartea The Empirical Validation of House Energy Rating (HER) Software for Lightweight Housing in Cool Temperate Climates de Mark Andrew Dewsbury la prețul de 959.52 lei, discount 9% cu livrare gratuită prin curier oriunde în România.
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Methods for voting classification algorithms, such as Bagging and AdaBoost, have been shown to be very successful in improving the accuracy of certain classifiers for artificial and real-world datasets. We review these algorithms and describe a large empirical study comparing several variants in conjunction with a decision tree inducer (three variants) and a Naive-Bayes inducer. The purpose of the study is to improve our understanding of why and when these algorithms, which use perturbation, reweighting, and combination techniques, affect classification error. We provide a bias and variance decomposition of the error to show how different methods and variants influence these two terms. This allowed us to determine that Bagging reduced variance of unstable methods, while boosting methods (AdaBoost and Arc-x4) reduced both the bias and variance of unstable methods but increased the variance for Naive
Background In developed countries with old age structures most deaths occur at older ages and older people account for the majority of those in poor health, which suggests a particular need to...
In the present study, we did not find any dramatic differences in the results between the tested regression models. Overall, the goodness-of-fit statistics in Tables 1, 2 and 3 were similar in magnitude for all the tested models, with the exception of the Pseudo R 2 values for the mixed effects models (mixed and meologit), which were considerably lower than for the models with fixed effects only. This is most likely due to the different numbers of parameters in the models. However, also with AIC, which is supposed to compensate for differences in the number of fitted parameters, slightly worse fit was found for the models including random effects.. The original study using the same data [8] applied a linear mixed model, corresponding to the analysis here described by the command mixed. The findings were basically the same in the new analysis, with significant differences between the normal dose reconstructions and all other schemes, as well as significant effects of the iterative algorithms ...
Experiments with relatively high doses are often used to predict risks at appreciably lower doses. A point of departure (PoD) can be calculated as the dose associated with a specified moderate response level that is often in the range of experimental doses considered. A linear extrapolation to lower doses often follows. An alternative to the PoD method is to develop a model that accounts for the model uncertainty in the dose-response relationship and to use this model to estimate the risk at low doses. Two such approaches that account for model uncertainty are model averaging (MA) and semi-parametric methods. We use these methods, along with the PoD approach in the context of a large animal (40,000+ animal) bioassay that exhibited sub-linearity. When models are fit to high dose data and risks at low doses are predicted, the methods that account for model uncertainty produce dose estimates associated with an excess risk that are closer to the observed risk than the PoD linearization. This ...
Downloadable (with restrictions)! Author(s): Scarpa, Riccardo & Ruto, Eric S. K. & Kristjanson, Patti & Radeny, Maren & Drucker, Adam G. & Rege, John E. O.. 2003 Abstract: No abstract is available for this item.
Staff profile page for Dr Qulsom Fazil, Lecturer in Disability Studies and Behavioural Science, Institute of Applied Health Research.
Downloadable (with restrictions)! The study presents an empirical analysis of the relative revenue efficiency of UK universities in providing teaching and research. With government policies pressurizing the largely public-funded universities to secure efficiency in both input usage and output revenue, university producers are modelled as cost-constrained revenue maximizers. Taking explicit account of the quality of research output, the methodology uses linear programming techniques to construct nonparametric cost indirect production frontiers and to compute revenue efficiency relative to these frontiers. Revenue efficiency is then decomposed into its (output) allocative and technical components. Further analysis investigates the sources of allocative and technical inefficiencies.
TY - GEN. T1 - Empirical Analysis of the performance of variance estimators in sequential single-run ranking & selection. T2 - 2016 Winter Simulation Conference, WSC 2016. AU - Pedrielli, Giulia. AU - Zhu, Yinchao. AU - Lee, Loo Hay. AU - Li, Haobin. PY - 2017/1/17. Y1 - 2017/1/17. N2 - Ranking and Selection has acquired an important role in the Simulation-Optimization field, where the different alternatives can be evaluated by discrete event simulation (DES). Black box approaches have dominated the literature by interpreting the DES as an oracle providing i.i.d. observations. Another relevant family of algorithms, instead, runs each simulator once and observes time series. This paper focuses on such a method, Time Dilation with Optimal Computing Budget Allocation (TD-OCBA), recently developed by the authors. One critical aspect of TD-OCBA is estimating the response given correlated observations. In this paper, we are specifically concerned with the estimator of the variance of the response ...
edgeR 3.10.0 / edgeRun 1.0.9 :: DESCRIPTION edgeR (empirical analysis of digital gene expression in R) is an R/Bioconductor software package for statistical analysis of replicated count data. Methods are designed f
AAIDD (17) ability conception (5) ability constructs (2) ability domain cohesion (2) AC (45) academic attitudes (1) academic freedom (1) academic goal setting (1) academic interests (1) Academic Knowledge (1) academic motivation (2) academic values (1) accomodations (2) acculturation (2) achievement (87) ACT (1) ACT-R (1) adaptive behavior (11) ADHD (37) adpatations (1) advertising (3) aging (34) AimsWeb (2) AJT (2) AJT COGTESST (1) AJT COGTEST (2) alternate forms equivalence (2) alzheimers (7) American Indians (1) American Printing House for Blind (2) AP101 (15) AP101 Briefs (3) AP101 Reports (12) APA (13) APA Division 41 (1) applied psychometrics (29) aptitude (58) Arithmetic (2) as per person (1) ASB (8) ASI (1) ASIS (1) Aspergers (3) assessment (13) ASVAB (1) at risk (1) ATDR (1) ATI (2) Atkins (2) Atkins cases (33) attention (62) attentional control (45) atypical development (1) Australia (4) Austria (1) autism (18) background noise (1) BAI (1) BAIAD (1) basal ganglia (1) base rate (2) BAT ...
Systematic reviews (SRs) of the professional literature, sometimes termed the "platinum" standard of evidence [1], form the foundation for clinical guidelines and evidence-based health policy, thus shaping the policy agenda in medicine and public health [2, 3]. Contrary to narrative reviews, which may be biased due to non-systematic procedures for identifying original studies, SRs enjoy high credibility. Despite their popularity in recent years, enormous importance, and clear advantages over traditional reviews, it is not easy to validate the results of a given SR: there is simply no "gold standard" with which to compare the results. The scientific community has approached this issue by 1 - creating reporting standards [4-6]; 2 - developing tools to validate SR quality [7] and risk of bias [8]; and 3 - applying those standards and tools to published SRs [4, 9-16]. A fourth approach, made possible by the proliferation of published SRs on similar topics, is based on empirical comparisons of SR ...
Adam, A., Delis, M., Kammas, P. 2011. Public sector efficiency: leveling the playing field between OECD countries. Public Choice, 146, 163-183. Afonso, A., Aubyn, M. S. 2004. Non-parametric Approaches to Education and Helth Expenditure Efficiency in OECD Countries. Journal of Applied Economics, 8, 227-246. Afonso, A., Schuknecht, L. Tanzi, V., 2003. Public sector efficiency: an international comparison, Frankfurt am Main, European Central Bank. Afonso, A., Schunknecht, L.,Tanzi, V. 2005. Public sector efficiency: An international comparison. Public Choice, 123, 321-347. Agasisti, T. 2014. The Efficiency of Public Spending on Education: an empirical comparison of EU countries. European Journal of Education, 49, 543-557. Al, S., Samarrai, S. 2002. Achieving Education for All: How Much Does Money Matter. IDS, Brighton, Working Paper, 175. Alesina, A., Di Tella, R., Macculloch, R. 2004. Inequality and happiness: are Europeans and Americans different? Journal of Public Economics, 88, 2009-2042. ...
This exploratory research has resulted in a framework of enablers for the development and implementation of a service charter for an integrated stroke service. It consists of seven categories of enablers containing 27 properties. The results of our research contribute to the literature on service charters, patient-centred integrated care and the implementation of innovations.. Thomassen et al. developed a Public Service Charter Implementation Framework consisting of three main clusters and ten sub-clusters of enablers. This was the first empirical research on enablers for the effective development and implementation of a service charter that focused on individual organizations. The current research has extended the knowledge on this subject by conducting research on the development and implementation of a single service charter covering an integrated care setting. The results show that the enablers are not only related to the organizational level but that there are additional enablers on the ...
This paper describes a novel representation and ordering model that aided by an evolutionary algorithm, is used in solving the graph \emph{k}-colouring problem. Its strength lies in reducing the search space by breaking symmetry. An empirical comparison is made with two other algorithms on a standard suit of problem instances and on a suit of instances in the phase transition where it shows promising results.. ...
Within the AI planning (AIP) community, the concept of using artificial scenarios for system evaluation is well established. The International Planning Competition (IPC) [2] is a bi-annual event which allows an empirical comparison of AIP systems from around the world. Its committees have developed seven sets of benchmark problems [2] from a wide range of domains, each containing problems of scaled complexity. The domains are taken from both current, real-world, applications of AIP and from new fields that have the potential to be effectively supported by the technology Each domain focuses on different elements of AIP capability. As stated by Edelkamp and Hoffmann [3] the objective of using these problem sets, aside from aiding in the comparative evaluation of various systems, is to "highlight challenges to the community in the form of problems at the edge of current capabilities [and] to propose new directions for research". These problem sets have been shown to be invaluable for accurately ...
Pathway enrichment extensively used in the analysis of Omics data for gaining biological insights into the functional roles of pre-defined subsets of genes, proteins and metabolites. A large number of methods have been proposed in the literature for this task. The vast majority of these methods use as input expression levels of the biomolecules under study together with their membership in pathways of interest. The latest generation of pathway enrichment methods also leverages information on the topology of the underlying pathways, which as evidence from their evaluation reveals, lead to improved sensitivity and specificity. Nevertheless, a systematic empirical comparison of such methods is still lacking, making selection of the most suitable method for a specific experimental setting challenging. This comparative study of nine network-based methods for pathway enrichment analysis aims to provide a systematic evaluation of their performance based on three real data sets with different number of features
ABSTRACT Evidence suggests that the significantly higher life expectancy levels witnessed over the past centuries are associated with a lower concentration of survival times, both cross-country and over time. The purpose of this work is to study the relationships that exist among models for the evolution of survival distributions, longevity measures, and concentration. We first study relationships between concentration and cohort longevity through empirical comparisons. We then propose a family of survival models that can be used to capture such trends in longevity and concentration across survival distributions.
Kristian Kersting, Niels Landwehr: Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. Probabilistic Graphical Models 2002 ...
Although professional development is an important means of improving both teachers skills and student outcomes, there is a dearth of high quality empirical research on the efficacy of such efforts. The efficacy of the Challenging Behavior Process was assessed using a mixed method approach which included the use of pre-, post-, and follow-up surveys. The participants were preschool teachers who worked for Kamehameha Schools on the island of Oahu. The relationship of the training to teacher efficacy, learning, and transfer was assessed. The analyses determined that the training was well-designed to meet the needs of the teaching staff, participants reacted positively to the training, and participation in the training was related to positive changes in knowledge about the CB process. However, participation in the training was also related to a statistically significant decrease in teacher efficacy for teaching strategies at the time of the follow-up and a number of knowledge gaps were uncovered. ...
The Annenberg School stands at the forefront of basic and applied empirical research on the institutions, processes, nature, and consequences of communication. This research is based on theories, methods, and knowledge emerging from our own discipline as well those adapted from cognate disciplines in the humanities, social sciences and sciences. Many Annenberg faculty members are jointly appointed or hold secondary faculty positions in other schools and departments at Penn. Annenberg faculty and students regularly collaborate with each other and with faculty, researchers, and students from Penns other distinguished schools and centers. The result of this inter- and intra-disciplinary research network is a faculty and student body with the theoretical, methodological and substantive breadth, depth, and agility to produce cutting-edge research on the most pressing communication-centered issues of the twenty-first century. ...
Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However, recent empirical research on factor models has shown that information contained in large data sets is relevant for the evolution of important macroeconomic series. This suggests that conventional model estimates and inference based on estimated DSGE models might be distorted. In this paper, we propose an empirical framework for the estimation of DSGE models that exploits the relevant information from a data-rich environment. This framework provides an interpretation of all information contained in a large data set, and in particular of the latent factors, through the lenses of a DSGE model. The estimation involves Markov-Chain Monte-Carlo (MCMC) methods. We apply this estimation approach to a ...
This paper interprets the results of the empirical research on the awareness and the opinions of the interested public about the usage of fuel made...
BACKGROUND: Many mammals are well adapted to surviving in extremely cold environments. These species have likely accumulated genetic changes that help them efficiently cope with low temperatures. It is not known whether the same genes related to cold adaptation in one species would be under selection in another species. The aims of this study therefore were: to create a compendium of mammalian genes related to adaptations to a low temperature environment; to identify genes related to cold tolerance that have been subjected to independent positive selection in several species; to determine promising candidate genes/pathways/organs for further empirical research on cold adaptation in mammals ...
From the Epidemiology Group, the Institute of Applied Health Sciences, University of Aberdeen, Aberdeen; Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester, UK. K.L.D. is funded by a studentship from the Institute of Applied Health Sciences, University of Aberdeen. K.L. Druce, MSc, PhD, Epidemiology Group, the Institute of Applied Health Sciences, University of Aberdeen; G.T. Jones, MSc, PhD, Epidemiology Group, the Institute of Applied Health Sciences, University of Aberdeen; G.J. Macfarlane, MBChB, MD (Hons), PhD, Epidemiology Group, the Institute of Applied Health Sciences, University of Aberdeen; S.M. Verstappen, PhD, Arthritis Research UK Epidemiology Unit, University of Manchester; N. Basu, MBChB, PhD, Epidemiology Group, the Institute of Applied Health Sciences, University of Aberdeen. Address correspondence to Dr. N. Basu, Epidemiology Group, the Institute of Applied Health Sciences, University of Aberdeen, 1.024 Polwarth Building, Foresterhill, Aberdeen, AB25 ...
Evaluation of tracking algorithms in the absence of ground truth is a challenging problem. There exist a variety of approaches for this problem, ranging fr
The methods of Fitch and Margoliash and of Farris for the construction of phylogenetic trees were compared. A phenetic clustering technique - the UPGMA method - was also considered. The three methods
Litchfield, D. and Donovan, T. (2018) Expecting the initial glimpse: prior target knowledge activation or repeated search does not eliminate scene preview search benefits, Journal of Cognitive Psychology. Available at: https://doi.org/10.1080/20445911.2018.1555163 (Accessed: 14 December 2018).. Donovan, T. et al. (2018) Continuous versus intermittent antibiotics for bronchiectasis, Cochrane Database of Systematic Reviews, (6). doi: 10.1002/14651858.CD012733.pub2. Wallcook S, Morris K (2018) Supporting Digital Health and Digital Inclusion: An Occupational Therapy Perspective, The Journal of Corporate Citizenship DOI: 10.9774/T&F.4700.2017.de.00008 Hampson, C., & Morris, K. (2018) Research into the Experience of Dementia: Methodological and Ethical Challenges Journal of Social Sciences and Humanities, 1(1), 15-19. American Association for Science and Technology.. Waring, L., Miller, P.K., Sloane, C. and Bolton, G. (2018) Charting the practical dimensions of understaffing from a managerial ...
From a naturalistic perspective on mental illness, depression is often described in terms of biological dysfunctions, while a normative perspective emphasises the lived experience of depression as a harmful condition. The paper relates a conceptual analysis of depressive situation to an analysis of the lived experience of depression. As such, it predominantly aims to specify depression as a harmful condition in lights of normative perspective on mental disorder, but partially refers to empirical research, i.e. naturalistic perspective on depression, to exemplarily stress on the methodological merits and limits of relating phenomenological considerations closer to empirical research. The depressive situation is further specified with an examination of the evaluative dynamics by which individuals meaningfully relate to themselves, others and the world. These evaluative dynamics emerge out of the interplay of pre-reflective and reflective processes, which are significantly altered in depression. Such
This book takes a comparative, integrated view of migration, linking evolution with ecology and management, theory with empirical research, and embracing all the major migratory taxa (including ... More. This book takes a comparative, integrated view of migration, linking evolution with ecology and management, theory with empirical research, and embracing all the major migratory taxa (including humans). The scope extends beyond the target organism to consider the ecosystem-level dynamics of migration. Rather than simply reviewing the field of migration as it stands today, the book highlights the lacunae in our knowledge and understanding. The emphasis is on exciting new research avenues that are now opening up, whether because of advances in our understanding of migration as a biological phenomenon or through the availability of a range of new technologies. Broad themes that emerge include smoothly integrating migration into the broad spectrum of movement behaviour; the need for a comparative ...
This book takes a comparative, integrated view of migration, linking evolution with ecology and management, theory with empirical research, and embracing all the major migratory taxa (including ... More. This book takes a comparative, integrated view of migration, linking evolution with ecology and management, theory with empirical research, and embracing all the major migratory taxa (including humans). The scope extends beyond the target organism to consider the ecosystem-level dynamics of migration. Rather than simply reviewing the field of migration as it stands today, the book highlights the lacunae in our knowledge and understanding. The emphasis is on exciting new research avenues that are now opening up, whether because of advances in our understanding of migration as a biological phenomenon or through the availability of a range of new technologies. Broad themes that emerge include smoothly integrating migration into the broad spectrum of movement behaviour; the need for a comparative ...
This comprehensive article is based on three previous studies on peoples reactions on receiving transplants of various kinds: a survey of the public, in-depth interviews with informants recruited from this survey and two other surveys, and in-depth interviews with heart and kidney recipients. The ideas and reactions of the public, when confronted with the issue of receiving a transplant in a hypothetic situation, vary from magical thinking to a conception of the body as an object in need of repair. The actual recipients show a similar variation in their reactions as the public ...
In our sample of high-impact journals, we found that although most studies declared that NI was met (59.6%), 23.4% of studies did not provide justification for performing the NI study, and only 45.7% of studies provide clear justification for the margin used in their analysis. There is also a wide range of NI margins and a considerable percentage of studies using α levels greater than the standard .05 (2-sided), suggesting the arbitrary and subjective nature of determining these values or conducting these types of studies. Furthermore, only approximately 46% of studies corroborate NI results in both ITT and PP analysis. PP analysis is important for NI trials because it adds an additional approach to validate study results. In superiority trials, in which patients cross over, ITT is the preferred population to analyze because it provides a more conservative estimate of the effect.11 However, this conservative estimate increases the likelihood of NI being met. When both ITT and PP analyses are ...
Small and medium-sized enterprises (SMEs) are fighting for survival due to globalization, growing competition with big retailers, and strategies adopted by large industrial companies. Difficulties in pricing are also revealed in the literature. Therefore, appropriate activity is needed to be more a price maker than a taker, and to reach a better market power. On the other hand, market opportunities for SMEs are related to demand evolution toward food quality and traditional food products. To profit by such opportunities, SMEs need to focus on consumer requirements, by differentiating their products. In this way, firms could apply a premium price that justifies the peculiar value of the product, and that the consumer should be willing to pay. Nonetheless, the ability to influence the price is different among firms, and often depends on firm bargaining power. Indeed, horizontal and vertical competition highly affects the ability of price setting, especially for SMEs, due to their small dimension. In order
Karpov, Valery and Mozzherina, Nadezhda and Andreeva, Elena (2009): Использование CASE-технологий при моделировании организации предпринимательской деятельности в агропромышленном комплексе. Published in: Экономика региона: интеллект, инновации, предпринимательство: Материалы Международной научно-практической конференции (11 дек. 2009 г.). (2009): pp. 188-191. Keppler, Jan Horst (2009): Barriers to entry : abolishing the barriers to understanding. Published in: Journal of Public Finance and Public Choice , Vol. 27, No. 27 (2-3) (2009): pp. 99-124. Keshari, Pradeep K and Paul, Thomas M (1994): Relative efficiency of foreign and domestic Banks. Published in: Economic and Political Weekly , Vol. 29, (26 February 1994): M31-M36. Keshari, Pradeep Kumar (2013): Efficiency spillovers from ...
This paper examines the intertemporal relationship between downside risks and expected stock returns for five advanced markets. Using Value‐at‐Risk (VaR) as a measure of downside risk, we find a positive and significant relationship between VaR and the expected return before the world financial crisis (September 2008). However, when we estimate the model using a sample after this date, the results show a negative risk-return relationship. Evidence from a two‐state Markov regime‐switching model indicates that as uncertainty rises, the sign of the risk-return relationship turns negative. Evidence suggests that the Markov regime‐switching model helps to resolve the conflicting signs in the risk-return relationship. ...
We compare algorithms for the construction of a minimum spanning tree through largescale experimentation on randomly generated graphs of different structures and different densities. In order to extra
This article briefly summarizes methods used in the empirical validation of translations of the SF-36 Health Survey. In addition, information about the IQOLA Project norming protocol and 13 general population norming samples analyzed in this supplement is provided.
All methods for data analysis, understanding or visualizing are based on models that often have compact analytical representations (e.g., formulas, symbolic equations, etc.) Models are used to study processes theoretically. Empirical validations of the utility of models are achieved by inputting data and executing tests of the models. This validation step may be done manually, by computing the model prediction or model inference from recorded measurements. This process may be possible by hand, but only for small numbers of observations (,10). In practice, we write (or use existent) algorithms and computer programs that automate these calculations for better efficiency, accuracy and consistency in applying models to larger datasets. ...
All methods for data analysis, understanding or visualizing are based on models that often have compact analytical representations (e.g., formulas, symbolic equations, etc.) Models are used to study processes theoretically. Empirical validations of the utility of models are achieved by inputting data and executing tests of the models. This validation step may be done manually, by computing the model prediction or model inference from recorded measurements. This process may be possible by hand, but only for small numbers of observations (,10). In practice, we write (or use existent) algorithms and computer programs that automate these calculations for better efficiency, accuracy and consistency in applying models to larger datasets. ...
All methods for data analysis, understanding or visualizing are based on models that often have compact analytical representations (e.g., formulas, symbolic equations, etc.) Models are used to study processes theoretically. Empirical validations of the utility of models are achieved by inputting data and executing tests of the models. This validation step may be done manually, by computing the model prediction or model inference from recorded measurements. This process may be possibly done by hand, but only for small numbers of observations (,10). In practice, we write (or use existent) algorithms and computer programs that automate these calculations for greater efficiency, accuracy and consistency in applying models to larger datasets. ...
Modeling TCP Throughput. A Simple Model and its Empirical Validation. Jitendra Padhye Victor Firoiu Don Towsley Jim Kurose Presented by Jaebok Kim. Introduction. Simple analytic characterization of the steady state throughput A stochastic model of TCP congestion control Slideshow 2142956 by reilly
We found strong evidence of a higher likelihood of undergoing colonoscopy for individuals with a family history of Lynch syndrome, but no previous cancer diagnosis, upon learning that they were carriers of a genetic mutation predisposing to colorectal cancer. There was also strong evidence of a lower likelihood of quitting smoking for individuals with a family history of Lynch syndrome, but no previous cancer diagnosis, upon learning that they were noncarriers of a genetic mutation predisposing to colorectal cancer. These empirical findings were consistent with the hypotheses generated from our simple health economics model. They also agreed well with previous studies that reported substitutive effects between genetic endowments and personal health behaviors in economic (38-40) and clinical (16-23) literature. They were also congruent with a previous study that reported modulating effects of previous cancer diagnosis (32). The empirical findings were robust to factors analyzed in subsequent and ...
Model based prediction of system quality characteristics and their trade-offs; Prediction models; Methods and tools for system quality prediction; Reliability prediction; Security prediction; Risk prediction; Performance prediction; Uncertainty handling in prediction models; Prediction of change impacts on system quality and risk; Quality and trustworthiness of prediction models; Predictability of system quality characteristics; Predictability of dynamic and adaptive systems; Data acquisition methods in system quality prediction; Traceability and maintainability of prediction models; Inference types in prediction models; Experience reports on and application areas for system quality prediction; Empirical studies on system quality prediction Distributed simulation ...
It is common wisdom in the area of adult education that the educators relational attitudes influence knowledge construction on the part of the learners. It is the aim of this paper to contribute to an empirical evaluation of this idea. We identified four basic relational attitudes of the educators, namely: (i) favoring cooperation, (ii) directivity, (iii) flexibility, and (iv) ability to focus on the participants. Then, we identified 31 prototypical types of behavior that are commonly enacted by educators in the classroom. We performed multiple observations of several adult education courses, scoring each educator on the list of 31 behavior types. We performed factor analysis and then correlated such scores and the corresponding attitudes to indexes of the participants levels of attention, participation and comprehension. The results corroborate our hypotheses. Interestingly, several differences was found between novice and expert teachers. Overall, our findings support the ...
The goal of the present study was not optimal fixation prediction but rather a comparison of movement saliencies in dynamic and static viewing conditions. Still, we would like to comment on our effect size in relation to previous studies (Carmi & Itti, 2006; Itti & Baldi, 2009; Le Meur et al., 2007; Marat et al., 2009; Vig et al., 2009; Vig et al., 2012). This is not straightforward because the metrics quantifying saliency differ across studies (Wilming et al., 2011). Here, we have employed the AUC measure that has become a standard since its introduction into the field (Tatler et al., 2005). A recent review (Wilming et al., 2011) combining theoretical and empirical evaluations of several saliency metrics concludes that for the type of the data recorded here AUC is the best choice. Furthermore, methodological preferences, such as the choice of which regions that are not fixated will be compared with fixated ones (Carmi & Itti, 2006; D. Parkhurst et al., 2002; Tatler, 2007), have a large ...
An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period, Beatty, William S., Webb Elisabeth B., Kesler Dylan C., Naylor Luke W., Raedeke Andrew H., Humburg Dale D., Coluccy John, and Soulliere Gregory J. , The Journal of Wildlife Management, 09/2015, Volume 79, p.1141 - 1151, (2015) ...