###### ANOVA

- Analysis of variance ( ANOVA ) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among group means in a sample . (wikipedia.org)
- In the ANOVA setting, the observed variance in a particular variable is partitioned into components attributable to different sources of variation. (wikipedia.org)
- Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. (cambridge.org)
- Analysis of variance (ANOVA) is a statistical procedure for summarizing a classical linear model - a decomposition of sum of squares into a component for each source of variation in the model - along with an associated test (the F -test) of the hypothesis that any given source of variation in the model is zero. (springer.com)
- More generally, the variance decomposition in ANOVA can be extended to obtain inference for the variances of batches of parameters (sources of variation) in multilevel regressions. (springer.com)
- Analysis of variance (ANOVA) represents a set of models that can be fit to data, and also a set of methods for summarizing an existing fitted model. (springer.com)
- If I've (half) understood this right, an F-test for ANOVA is always 1-tailed because what the F-test is directly testing is the alternative hypothesis that the variance of population means is greater than the mean of population variances. (physicsforums.com)
- When you get to § 6.73, you'll find it says ANOVA and the t test for the difference of two means depend on the same assumptions, namely that the population distributions are normal, and that the population variances are equal . (physicsforums.com)
- and test differences with analysis of variance (ANOVA). (lynda.com)
- A type of inferential statistics test, analysis of variance (ANOVA), permits examination of several samples at the same time for purposes of determining whether a significant relationship exists between them. (wisegeek.com)
- ANOVA is based upon four assumptions: the level of measurement, the sampling method, the distribution of the population, and the homogeneity of the variance. (wisegeek.com)
- In order to determine whether differences are significant, ANOVA is concerned with differences between and within the samples, which is referred to as the variance. (wisegeek.com)
- The ANOVA can find out if the variance is larger between samples as compared to that among sample members. (wisegeek.com)
- Analysis of variance (ANOVA) uses the same conceptual framework as linear regression. (kovcomp.co.uk)
- PERMANOVA shares some resemblance to ANOVA where they both measure the sum-of-squares within and between group and make use of F test to compare within-group to between-group variance. (wikipedia.org)
- MANOVA is a generalized form of univariate analysis of variance (ANOVA), although, unlike univariate ANOVA, it uses the covariance between outcome variables in testing the statistical significance of the mean differences. (wikipedia.org)
- In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique that can be used to compare means of two or more samples (using the F distribution). (wikipedia.org)
- The ANOVA produces an F-statistic, the ratio of the variance calculated among the means to the variance within the samples. (wikipedia.org)
- An extension of one-way ANOVA is two-way analysis of variance that examines the influence of two different categorical independent variables on one dependent variable. (wikipedia.org)
- The one-way ANOVA can be generalized to the factorial and multivariate layouts, as well as to the analysis of covariance. (wikipedia.org)
- In statistics, a mixed-design analysis of variance model (also known as a split-plot ANOVA) is used to test for differences between two or more independent groups whilst subjecting participants to repeated measures. (wikipedia.org)
- More specifically, the total sum of squares in a regular one-way ANOVA would consist of two parts: variance due to treatment or condition (SSbetween-subjects) and variance due to error (SSwithin-subjects). (wikipedia.org)
- Analysis of variance F test (Includes a one-way ANOVA example) Mixed model Multivariate analysis of variance (MANOVA) One-way ANOVA Repeated measures ANOVA Tukey's test of additivity Yates, Frank (March 1934). (wikipedia.org)
- The parametric equivalent of the Kruskal-Wallis test is the one-way analysis of variance (ANOVA). (wikipedia.org)
- a fortiori there exists no "valid" (i.e. randomization-based) test for the block-treatment interaction in the analysis of variance (anova) of the RCBD. (wikipedia.org)

###### Covariance

- This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. (cambridge.org)
- In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts. (cambridge.org)
- Sphericity of the covariance matrix: ensures the F ratios match the F distribution For the between-subject effects to meet the assumptions of the analysis of variance, the variance for any level of a group must be the same as the variance for the mean of all other levels of the group. (wikipedia.org)
- When there is homogeneity of variance, sphericity of the covariance matrix will occur, because for between-subjects independence has been maintained. (wikipedia.org)

###### large variance

- Occurrences of mistakes in calculating budgets results in large variance differences and finding the errors can be time-consuming (thus expensive). (wikipedia.org)

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###### error variance

- Homogeneity of variance: each population should have the same error variance. (wikipedia.org)
- (wikipedia.org)

###### MANOVA

- In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. (wikipedia.org)
- Multivariate Analysis of Variance (MANOVA): I. Theory" (PDF). (wikipedia.org)

###### calculation

- Thus fitting the models requires only the means of each treatment group and a variance calculation (an average variance within the treatment groups is used). (wikipedia.org)
- This software allows for calculation of analyses such as AMOVA, as well as comparisons with other types of closely related statistics including F-statistics and Shannon's index, and more. (wikipedia.org)
- Furthermore, financial analysts responsible for calculation variances are increasing overhead costs of a company. (wikipedia.org)

###### Multivariate Analysis

- Permutational multivariate analysis of variance (PERMANOVA), is a non-parametric multivariate statistical test. (wikipedia.org)
- Where sums of squares appear in univariate analysis of variance, in multivariate analysis of variance certain positive-definite matrices appear. (wikipedia.org)
- For vector responses, multivariate analysis considers similar two-way models with main effects and with interactions or errors. (wikipedia.org)
- With replicates, interaction can be tested with the multivariate analysis of variance and coefficients in the linear model can be estimated without bias and with minimum variance (by using the least-squares method). (wikipedia.org)

###### estimate

- Laplace knew how to estimate a variance from a residual (rather than a total) sum of squares. (wikipedia.org)
- What's being tested is whether there's a difference between the variance of the group means (approximated by the numerator: the between-groups variance estimate) and the mean of the variances of the groups (approxmated by the denominator: the within-groups variance estimate). (physicsforums.com)
- Developed by statistician Ronald Fisher, the formula for F is as follows: F = between group variance estimate (MSB) divided by the within group variance estimate (MSW), such that F = MSB/MSW. (wisegeek.com)
- Tukey extended this method by assuming that if the replicates could be considered identically and independently distributed, then an estimate of the variance of the sample parameter could be made and that it would be approximately distributed as a t variate with n−1 degrees of freedom (n being the sample size). (wikipedia.org)
- The basic idea behind the jackknife variance estimator lies in systematically recomputing the statistic estimate, leaving out one or more observations at a time from the sample set. (wikipedia.org)
- From this new set of replicates of the statistic, an estimate for the bias and an estimate for the variance of the statistic can be calculated. (wikipedia.org)
- Instead of using the jackknife to estimate the variance, it may instead be applied to the log of the variance. (wikipedia.org)
- For many statistical parameters the jackknife estimate of variance tends asymptotically to the true value almost surely. (wikipedia.org)

###### portfolios

- mean-variance optimal portfolios or mean-variance efficient portfolios. (coursera.org)
- If there are n risky assets instead of just one, and if their returns are jointly elliptically distributed, then all portfolios can be characterized completely by their mean and variance-that is, any two portfolios with identical mean and variance of portfolio return have identical distributions of portfolio return-and all possible portfolios have return distributions that are location-scale-related to each other. (wikipedia.org)
- With Dantzig's help, Markowitz continued to research optimization techniques, further developing the critical line algorithm for the identification of the optimal mean-variance portfolios, relying on what was later named the Markowitz frontier. (wikipedia.org)

###### estimates

- Through multiple simulation configurations, we compare our unbiased variance estimates to naïve estimates across a range of study designs, average percent correct, and numbers of readers and cases. (osapublishing.org)
- Each of the variance estimates consists of two parts - the sum of squares (SSB and SSW) and degrees of freedom (df). (wisegeek.com)
- To do this, two estimates are made of the population variance. (wikipedia.org)
- This transformation may result in better estimates particularly when the distribution of the variance itself may be non normal. (wikipedia.org)

###### normally distributed

- One can assume that the population is normally distributed, even though this is not verifiable, and population variances are the same, which means that the populations are homogeneous. (wisegeek.com)
- When running an analysis of variance to analyse a data set, the data set should meet the following criteria: Normality: scores for each condition should be sampled from a normally distributed population. (wikipedia.org)

###### residuals

- The total sum of squares - that is, \( {\sum}_{i=1}^5{\sum}_{j=1}^8{\left({y}_{ij}-\overline{y}..\right)}^2 \) - is 0.078 + 3.944 + 1.417, which can be decomposed into these three terms corresponding to variance described by treatment, variance described by airport, and residuals. (springer.com)
- The results given are a residuals analysis, parameters of the models, the model equation, the standardized coefficients, Type I SS, Type III SS, and predictions are displayed. (kovcomp.co.uk)
- Since it is a non-parametric method, the Kruskal-Wallis test does not assume a normal distribution of the residuals, unlike the analogous one-way analysis of variance. (wikipedia.org)

###### homogeneity

- page needed] For the within-subject effects, it is important to ensure normality and homogeneity of variance are not being violated. (wikipedia.org)

###### decomposition

- When formulated as a statistical model, analysis of variance refers to an additive decomposition of data into a grand mean, main effects, possible interactions and an error term. (springer.com)
- The article introduces bias-variance decomposition in probabilistic logic learning. (igi-global.com)

###### distributions

- In decision theory, if all alternative distributions available to a decision-maker are in the same location-scale family, and the first two moments are finite, then a two-moment decision model can apply, and decision-making can be framed in terms of the means and the variances of the distributions. (wikipedia.org)

###### inference

- But this is an indirect consequence, an inference from a test of variances. (physicsforums.com)

###### 1993

- Ijiri, Y. (1993), "Variance analysis and triple-entry bookkeeping. (wikipedia.org)

###### probabilistic

- On Bias-Variance Analysis for Probabilistic Logic Models. (igi-global.com)
- The results show the phenomenon of bias-variance trade-off in probabilistic logic learning. (igi-global.com)
- Working within a probabilistic framework, it decomposes the variance of the output of the model or system into fractions which can be attributed to inputs or sets of inputs. (wikipedia.org)

###### linear regression

- In statistics, Scheffé's method, named after the American statistician Henry Scheffé, is a method for adjusting significance levels in a linear regression analysis to account for multiple comparisons. (wikipedia.org)

###### analyze

- Multireader multicase (MRMC) variance analysis has become widely utilized to analyze observer studies for which the summary measure is the area under the receiver operating characteristic (ROC) curve. (osapublishing.org)
- We apply bias-variance definitions to analyze quantitative modelling of amino acid pathways of Saccharomyces cerevisiae (yeast). (igi-global.com)

###### budgets

- When companies compare budgets with actual figures, there are often differences called variance. (chron.com)
- Through corrective action based on budget variance analysis, budgets become more accurate and planning improves. (chron.com)

###### populations

- If the group means are drawn from populations with the same mean values, the variance between the group means should be lower than the variance of the samples, following the central limit theorem. (wikipedia.org)
- Variances of populations are equal. (wikipedia.org)
- The jackknife is consistent for the sample means, sample variances, central and non-central t-statistics (with possibly non-normal populations), sample coefficient of variation, maximum likelihood estimators, least squares estimators, correlation coefficients and regression coefficients. (wikipedia.org)

###### mean

- A successful grouping will split dogs such that (a) each group has a low variance of dog weights (meaning the group is relatively homogeneous) and (b) the mean of each group is distinct (if two groups have the same mean, then it isn't reasonable to conclude that the groups are, in fact, separate in any meaningful way). (wikipedia.org)
- theoretical ideas behind mean variance portfolio selection. (coursera.org)
- their mean and variance. (coursera.org)
- going to be walking through in this bigger topic of mean variance optimization. (coursera.org)
- Computes a confidence interval on a variance component estimated as proportional to the difference in two mean squares in a balanced complete experimental design. (roguewave.com)
- We use mean-variance analysis to demonstrate the importance of a hitherto neglected benefit of enticing MNEs to locate in small and medium-sized countries. (repec.org)
- Mean-variance analysis redirects here. (wikipedia.org)
- For mean-variance portfolio theory, see Modern portfolio theory or Mutual fund separation theorem. (wikipedia.org)
- The two moments are almost always the mean-that is, the expected value, which is the first moment about zero-and the variance, which is the second moment about the mean (or the standard deviation, which is the square root of the variance). (wikipedia.org)
- these employ mean-variance analysis, and focus on the mean and variance of a portfolio's final value. (wikipedia.org)

###### components

- In a mixed-design, you are taking repeated measures from the same participants and therefore the sum of squares can be broken down even further into three components: SSwithin-subjects (variance due to being in different repeated measure conditions), SSerror (other variance), and SSBT*WT (variance of interaction of between-subjects by within-subjects conditions). (wikipedia.org)

###### statistical models

- The textbook gives examples in Chapter 10 on fitting many statistical models including analysis of variance. (wisc.edu)

###### widely

- Analysis of variance became widely known after being included in Fisher's 1925 book Statistical Methods for Research Workers . (wikipedia.org)

###### means

- VARIANCE ANALYSIS is the analysis of performance by means of variances. (ventureline.com)
- Calculations of the means and the variance are performed as part of the hypothesis test. (wikipedia.org)

###### quantitative

- Analysis of variance is the standard statistical technique for modeling a quantitative response variable with categorical explanatory variables. (wisc.edu)

###### consists

- It consists of focus and analysis of statistically relevant anomalies in the data. (wikipedia.org)

###### ratio

- We would expect the F -ratio to be less than 1 only in unusual models with negative within-group correlations (for example, if the data y have been renormalized in some way, and this had not been accounted for in the data analysis). (springer.com)
- F-ratio is a test statistic used specifically for analysis of variance, as the F score shows where the area of rejection for the null hypothesis begins. (wisegeek.com)
- In the case of a unimodal variate the ratio of the jackknife variance to the sample variance tends to be distributed as one half the square of a chi square distribution with two degrees of freedom. (wikipedia.org)

###### model

- Analysis of molecular variance (AMOVA), is a statistical model for the molecular variation in a single species, typically biological. (wikipedia.org)
- For example, given a model with two inputs and one output, one might find that 70% of the output variance is caused by the variance in the first input, 20% by the variance in the second, and 10% due to interactions between the two. (wikipedia.org)
- Xd}, and Y is a chosen univariate model output (note that this approach examines scalar model outputs, but multiple outputs can be analysed by multiple independent sensitivity analyses). (wikipedia.org)
- While researching the then current understanding of stock prices, which at the time consisted in the present value model of John Burr Williams, Markowitz realized that the theory lacks an analysis of the impact of risk. (wikipedia.org)

###### standard

- Variance analysis is the process of examining in detail each variance between actual and budgeted/expected/standard costs to determine the reasons why budgeted results were not met (material costs too high, sales prices too low, etc. (ventureline.com)

###### extend

- While the analysis of variance reached fruition in the 20th century, antecedents extend centuries into the past according to Stigler. (wikipedia.org)
- We extend MRMC variance analysis to binary data and also to generic study designs in which every reader may not interpret every case. (osapublishing.org)

###### statistics

- In this course, part two of a series, Professor Joseph Schmuller teaches you how to use statistics concepts and tools to perform analysis in Microsoft Excel. (lynda.com)
- By the end of this course, you should have the foundational knowledge you need to take other statistics-related courses and perform basic analysis in the workplace. (lynda.com)
- In statistics, analysis of rhythmic variance (ANORVA) is a method for detecting rhythms in biological time series, published by Peter Celec (Biol Res. (wikipedia.org)
- At the same time, statistics is concerned with evidence-based reasoning, particularly with the analysis of data. (wikipedia.org)

###### data

- In order to track underlying business developments from period to period, Yara's management also uses a variance analysis methodology, developed within the company ("Variance Analysis"), which involves the extraction of financial information from the accounting system, as well as statistical and other data from internal management information systems. (yara.com)
- Now that the data is all properly stored in a data frame, we are ready to begin the analysis. (wisc.edu)
- Any analysis should begin with a graphical exploration of the data. (wisc.edu)
- Brandon D. Gallas, Gene A. Pennello, and Kyle J. Myers, "Multireader multicase variance analysis for binary data," J. Opt. (osapublishing.org)
- He explains how to organize and present data and how to draw conclusions using Excel's functions, charts, and 3D maps and the Solver and Analysis ToolPak add-ons. (lynda.com)
- The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting. (kovcomp.co.uk)
- If data are ordinal, a non-parametric alternative to this test should be used such as Kruskal-Wallis one-way analysis of variance. (wikipedia.org)
- Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data" (Free full text). (wikipedia.org)
- ANORVA is based on the premise that the variance in groups of data from rhythmic variables is low when a time distance of one period exists between the data entries. (wikipedia.org)
- Analysis of Messy Data. (wikipedia.org)
- This involves thinking about the nature and quality of the data and, where the data came from, choosing appropriate analyses and models, and interpreting the results in the context of the problem and given the constraints of the data. (wikipedia.org)

###### Microsoft Excel

- An additional free statistical package, GenAlEx, is geared toward teaching as well as research and allows for complex genetic analyses to be employed and compared within the commonly used Microsoft Excel interface. (wikipedia.org)

###### identical

- Reasoning is identical to t-tests, only analysis of variance includes independent variables of two or more samples. (wisegeek.com)

###### Responses

- Variance-based measures of sensitivity are attractive because they measure sensitivity across the whole input space (i.e. it is a global method), they can deal with nonlinear responses, and they can measure the effect of interactions in non-additive systems. (wikipedia.org)

###### test

- B. Feng and X. Zhang, "Study on t-test, analysis of variance and multiple comparisons," Journal of Taiyuan Normal University (Natural Science Edition) , vol. 11, no. 4, pp. 46-49, 2012. (hindawi.com)
- If the variances are not known to be equal, a generalization of 2-sample Welch's t-test can be used. (wikipedia.org)
- He showed that under the usual departures (positive skew, unequal variances) "the F-test is conservative" so is less likely than it should be to find that a variable is significant. (wikipedia.org)
- Therefore, a researcher might use sample contrasts between individual sample pairs, or post hoc tests using Dunn's test, which (1) properly employs the same rankings as the Kruskal-Wallis test, and (2) properly employs the pooled variance implied by the null hypothesis of the Kruskal-Wallis test in order to determine which of the sample pairs are significantly different. (wikipedia.org)

###### find

- Management by exception focuses mainly on large adverse variances, to find the areas of business, which deviates from predetermined standards in a negative way. (wikipedia.org)

###### significant

- Rather than considering all variances, managers establish criteria to determine which variances are significant to focus on. (wikipedia.org)

###### particularly

- It is particularly useful in analysis of variance (a special case of regression analysis), and in constructing simultaneous confidence bands for regressions involving basis functions. (wikipedia.org)

###### central

- A subset of the fundamental moments central to MRMC variance analysis of the area under the ROC curve (AUC) is found to be required. (osapublishing.org)

###### often

- Variance-based sensitivity analysis (often referred to as the Sobol method or Sobol indices, after Ilya M. Sobol) is a form of global sensitivity analysis. (wikipedia.org)

###### R1a1

- J2a and R1a1 have similar Y-STR variances in the two studied populations (0.36 and 0.34), and their ages are roughly a third of those reported (with wide uncertainty), or about ~4ky. (blogspot.com)
- The variance of R1a1 in the Balkans might have been enhanced by infiltrations of Indo-European speaking peoples between 2000 and 1000 BC, and by the Slavic migrations to the region in the early Middle Ages. (wikipedia.org)

###### haplogroup

- The frequency of this haplogroup peaks in Herzegovina (64%), while its variance peaks over a large geographic area covering Bosnia and Herzegovina, Croatia, Serbia, Hungary, Poland, Czech Republic, and Slovakia. (wikipedia.org)
- In Southeast Europe, the frequency of this haplogroup peaks at the region's southeastern edge and its variance peaks in the southwest of the region. (wikipedia.org)

###### additive

- Inbreeding has deleterious effect on additive genetic variance as well as on phenotypic values (Falconer and Mackay 1996). (lrrd.org)
- Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. (wikipedia.org)

###### differences

- Several investigators have used meta-analysis to compare the results of studies of gender differences on various spatial tests and have concluded that the magnitude of the gender difference in spatial ability is decreasing over time. (springer.com)
- Emergence and characterization of sex differences in spatial ability: A meta-analysis. (springer.com)
- A meta-analysis of gender differences in spatial ability: Implications for mathematics and science achievement. (springer.com)
- Since there are questions as to whether theories dealing with central themes, such as affect, cognition, conceptions of the self, and issues such as psychopathology, anxiety, and depression, may lack external validity when "exported" to other cultural contexts, cross-cultural psychology re-examines them using methodologies designed to factor in cultural differences so as to account for cultural variance. (wikipedia.org)
- Although some critics have pointed to methodological flaws in cross-cultural psychological research and claim that serious shortcomings in the theoretical and methodological bases used impede rather than help the scientific search for universal principles in psychology, cross-cultural psychologists are turning more to the study of how differences (variance) occur, rather than searching for universals in the style of physics or chemistry. (wikipedia.org)

###### gene

- We will start from the FASTQ files, show how these were aligned to the reference genome, prepare gene expression values as a count matrix by counting the sequenced fragments, perform exploratory data analysis (EDA), perform differential gene expression analysis with DESeq2 , and visually explore the results. (bioconductor.org)

###### flaws

- In October 2015, three years after the announcement of the initial finding, researchers from the University of Oxford published a paper entitled "Ghost in the Time Series", demonstrating flaws in the original analysis. (wikipedia.org)

###### statistical analysis

- They observed that an identical statistical analysis of randomly-generated synthetic data gave the same results as the actual astronomical data. (wikipedia.org)
- This allowed researchers to transform analog EEG signals into digital signals for statistical analysis. (wikipedia.org)

###### measure

- Margin of error is positive whenever a population is incompletely sampled and the outcome measure has positive variance (that is, it varies). (wikipedia.org)
- Even Markowitz, himself, stated that "semi-variance is the more plausible measure of risk" than his mean-variance theory. (wikipedia.org)
- Then, through a theoretical analysis of capital market values, Hogan and Warren demonstrated that 'the fundamental structure of the "capital-asset pricing model is retained when standard semideviation is substituted for standard deviation to measure portfolio risk. (wikipedia.org)
- the software also allows clinicians to measure the subject's variance from normal. (wikipedia.org)
- The skills that simulations are intended to measure are: analysis, judgment, communication, and research. (wikipedia.org)

###### cognitive

- Neurometric analysis is able to detect consistent patterns of abnormalities in patients with subtle cognitive dysfunctions and psychiatric disorders. (wikipedia.org)

###### signals

- 2}}}\end{pmatrix}}} CSP can be applied after a mean subtraction (a.k.a. "mean centering") on signals in order to realize a variance ratio optimization. (wikipedia.org)

###### Sources

- The team made 459 observations of Alpha Centauri B's color spectrum over a four-year period, then used statistical filters to remove known sources of variance. (wikipedia.org)
- The transformations filtered out other sources of radial-velocity variance, including effects of starspots, photospheric granulation and rotation, as well as interference from the neighboring star Alpha Centauri A. The final, derived radial-velocity measurements showed the periodic influence of the planet on the star, but were near the threshold of the HARPS instrument's sensory capabilities. (wikipedia.org)
- It argues that shared family influences on g are substantial in childhood, but that in adults the environmental sources of variance are almost exclusively of the within-family kind. (wikipedia.org)

###### Methods

- 13. M. Afzali, H. Soltanian-Zadeh , "Comparison of Hierarchical and Sequential Clustering Methods for Analysis of DTI Data of TLE," Presented at and Published in the Proceedings of the 6th Iranian Conference on Machine Vision and Image Processing (MVIP'2010), Isfahan, Iran, Oct. 27-28, 2010. (henryford.com)
- Hatzes had previously expressed scepticism about unproven methods of data analysis during the dispute over the unconfirmed planet Gliese 581g. (wikipedia.org)
- The g factor can be derived from a correlation matrix of mental ability tests by many different methods of factor analysis. (wikipedia.org)

###### research

- Also bacteriological analysis of the research material has been conducted. (blogspot.com)
- Through expanding research methodologies to recognize cultural variance in behavior, language, and meaning it seeks to extend and develop psychology. (wikipedia.org)

###### region

- Slavic migrations to the Balkans in the early Middle Ages contributed to the frequency and variance of I2a-P37.2 in the region. (wikipedia.org)

###### almost

- Based on this distribution of values, it would appear from our preliminary analysis that almost half of the individuals sampled from the Harappa cemetery have isotope values outside the local baseline (0.7158-0.7189). (blogspot.com)

###### experiment

- The computational analysis of an RNA-Seq experiment begins earlier: what we get from the sequencing machine is a set of FASTQ files that contain the nucleotide sequence of each read and a quality score at each position. (bioconductor.org)
- Some examples of this are the local free-fall acceleration in a falling object experiment, various material properties in a finite element analysis for engineering, and multiplier uncertainty in the context of macroeconomic policy optimization. (wikipedia.org)

###### Several

- Later in 1970, several focus groups were performed where executives from eight industries were asked about their definition of risk resulting in semi-variance being a better indicator than ordinary variance. (wikipedia.org)

###### study

- The study of this interaction has been dominated by the analysis of artifacts such as carnelian beads and marine shell, along with limited textual evidence. (blogspot.com)
- Power analysis can also be used to calculate the minimum effect size that is likely to be detected in a study using a given sample size. (wikipedia.org)

###### large

- Its frequency peaks in Herzegovina (64%), and its variance peaks over a large geographic area covering B-H, Serbia, Hungary, Poland, the Czech Republic, and Slovakia. (wikipedia.org)

###### effect

- Power analysis can be used to calculate the minimum sample size required so that one can be reasonably likely to detect an effect of a given size. (wikipedia.org)

###### time

- Analyses of the d' s computed for the studies revealed that the magnitude of the gender difference on the mental Rotations test has remained stable over time. (springer.com)
- This is about the same time Harry Markowitz was developing mean-variance theory. (wikipedia.org)

###### high

- When high school GPA and the SAT I were combined, they explained 20.8% of the variance in college freshman GPA. (wikipedia.org)

###### early

- Charles Spearman is credited for inventing factor analysis in the early 20th century, which enabled statistical testing of the hypothesis that general mental ability is required in all mental efforts. (wikipedia.org)

###### provide

- The network analysis of R1a with other Indian populations failed to provide any regional or linguistic clustering (Fig. S2). (blogspot.com)

###### matrix

- The only information needed regarding the unknown parameters in the A and B matrices is the expected value and variance of each element of each matrix and the covariances among elements of the same matrix and among elements across matrices. (wikipedia.org)
- If there is only one window, R 2 {\displaystyle \mathbf {R} _{2}} can be considered as the identity matrix and then CSP corresponds to Principal component analysis. (wikipedia.org)

###### structure

- Population structure in Sweden - A Y-chromosomal and mitochondrial DNA analysis. (blogspot.com)