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Testing Statistical Hypotheses
Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume work. The first volume covers...
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Testing hypotheses about correlation matrices in general MANOVA designs
Correlation matrices are an essential tool for investigating the dependency structures of random vectors or comparing them. We introduce an approach...
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Difference Hypotheses for Up to Two Means: t-Tests
The t-test is one the most widely used statistical tests and it allows for testing difference hypotheses for up to two means. Strictly speaking, it... -
Bayesian analysis of testing general hypotheses in linear models with spherically symmetric errors
We consider Bayesian analysis for testing the general linear hypotheses in linear models with spherically symmetric errors. These error distributions...
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Statistical Inference
This chapter covers the fundamentals of statistical inference. Topics include discrete and continuous probability distributions, conditional... -
Statistical Methods
Chapter 2 describes two models of statistical inference: the population model first put forward by J. Neyman and... -
Statistical Inference and Bootstrapping
In this chapter we introduce basic concepts and methods of statistical inference. The focus is on estimating the parameters of statistical... -
Basic Statistical Methods
This chapter describes common statistical methods that are used to generate the P-values needed for hypothesis testing. The chapter begins with a... -
Hypotheses Testing
In a one-parameter exponential family, uniformly most powerful tests are stated for particular, but important hypotheses. Moreover, uniformly most... -
Three Views of Statistical Tests
The rationale behind the three main views of statistical tests is briefly reviewed. Current practice is based on the Fisher “test of significance”... -
Statistical Quality Control: Acceptance Sampling Plans in the Light of Fuzzy Mathematics
Statistical quality control is a productivity enhancing and regulatory technique with three factors––Management, Methods and Mathematics. More...
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Essential Statistical Tests
This chapter summarizes the basic steps involved in performing commonly used statistical hypothesis tests for continuous and categorical outcomes in... -
Statistical Analysis
The era of big data requires planners and public workers to equip themselves with basic statistical methods. This session introduces basic tools of... -
Statistical Inference Concentrating on a Single Mean
Statistical inference is to infer the population characteristics of interest through the observed sample data. If the whole collection of the... -
Statistical integration of allele frequencies from several organizations
Genetic evidence, especially evidence based on short tandem repeats, is of paramount importance for human identification in forensic inferences. In...
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Statistical Tests
Statistical tests enable comparisons across a very wide range of applications. The results are quantitative statements with a given confidence level.... -
Regional pooling in extreme event attribution studies: an approach based on multiple statistical testing
Statistical methods are proposed to select homogeneous regions when analyzing spatial block maxima data, such as in extreme event attribution...
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On the Development of a Local FDR-Based Approach to Testing Two-Way Classified Hypotheses
Multiple testing of two-way classified hypotheses controlling false discoveries is a commonly encountered statistical problem in modern scientific...
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Overview of Statistical Modeling
We will give a general overview on what a model is and how to conduct statistical modeling. Understanding these general concepts is necessary to be... -
Testing Hypotheses About the Value of a Parameter
An introduction to formal hypothesis testing in Statistics. Two approaches to hypothesis testing: one using critical points and one using P-values....