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Hypothesis Testing Reconsidered

Hypothesis testing is a common statistical analysis for empirical data generated by studies of perception, but its properties and;

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Hypothesis-testing Behaviour

research is discussed against the background of philosophical and formal theories of hypothesis testing with striking results: Falsificationism and;

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Hypothesis-testing Behaviour

research is discussed against the background of philosophical and formal theories of hypothesis testing with striking results: Falsificationism and;

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Applications of Hypothesis Testing for Environmental Science

Applications of Hypothesis Testing for Environmental Science presents the theory and application of hypothesis testing in environmental;

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Hypothesis Testing

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Hypothesis Testing

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Sample Size Choice

A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion;

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Sample Size Choice

A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion;

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Sequential Analysis

Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and;

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Sequential Analysis

Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and;

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Nonparametric Hypothesis Testing

encountered real problems in different fields. Features a supporting website (www.wiley.com/gohypothesis-testing) containing all of the data sets;

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Stereotyping as Inductive Hypothesis Testing

hypothesis testing. Stereotyping as Inductive Hypothesis Testing explicates the proposition that many stereotypes originate not so much in individual;

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Stereotyping as Inductive Hypothesis Testing

hypothesis testing. Stereotyping as Inductive Hypothesis Testing explicates the proposition that many stereotypes originate not so much in individual;

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Statistical Hypothesis Testing

This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space;

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Asking Questions in Biology

design, data analysis, hypothesis testing, research methods, or any practical project work.;

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Statistical Significance

students how to master hypothesis testing, normal distribution and p values.;

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Handbook Of Chemometrics And Qualimetrics

Provides coverage of the various fields of chemometrics, starting with classical statistics for hypothesis testing to advanced methods such;

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Digital Signal Processing (DSP) with Python Programming

The parameter estimation and hypothesis testing are the basic tools in statistical inference. These technics occur in many applications;

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Statistics Unplugged

normal curve, confidence intervals, hypothesis testing, variance, the chi-square test, and correlation and regression. Caldwell teaches sociology;

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Bayesian Data Analysis for the Behavioral and Neural Sciences

needing advanced mathematical techniques. This approach goes beyond frequentist concepts of p-values and null hypothesis testing, using the full;

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Bayesian Data Analysis for the Behavioral and Neural Sciences

needing advanced mathematical techniques. This approach goes beyond frequentist concepts of p-values and null hypothesis testing, using the full;

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Financial Econometrics Modeling

This book proposes new tools and models to price options, assess market volatility, and investigate the market efficiency hypothesis;

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Social-democratic Welfare in a Neo-liberal context, Does it Fly?

This work is a theory-testing analysis of the neo-liberal welfare-regime convergence hypothesis, stating that welfare regimes in a;

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Mathematical Statistics

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing;

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Categorical Data Analysis Using the SAS System, Second Edition

Discusses hypothesis testing strategies for the assessment of association in contingency tables and sets of contingency tables. Also;

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The Linear Model and Hypothesis

This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear;

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Statistical Inference via Convex Optimization

accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex;

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