Statistics Study Guide: Permutation, Random Variable, Probability Axioms, Bayesian Probability, Decision Theory, Chebyshev's Inequality, Chi-Square & Student's T-Distribution, Sampling, Correlation (Mobi Study Guides)

Nonfiction, Science & Nature, Mathematics, Reference & Language, Study Aids, Reference
Cover of the book Statistics Study Guide: Permutation, Random Variable, Probability Axioms, Bayesian Probability, Decision Theory, Chebyshev's Inequality, Chi-Square & Student's T-Distribution, Sampling, Correlation (Mobi Study Guides) by MobileReference, MobileReference
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Author: MobileReference ISBN: 9781605010632
Publisher: MobileReference Publication: January 1, 2010
Imprint: MobileReference Language: English
Author: MobileReference
ISBN: 9781605010632
Publisher: MobileReference
Publication: January 1, 2010
Imprint: MobileReference
Language: English
Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.FEATURES:- Written in concise and clear English - Illustrated with graphs and diagrams - Use your down time to prepare for an exam. - Includes Glossary of probability and statistics TABLE OF CONTENTS:Introduction: History Conceptual overview Statistical methods Specialized disciplines SoftwareProbability: Event Statistical Independence Interpretations Classical definition Permutation Combination Random element Random variable Random VectorRules of Probability: Probability Axioms Odds Probability Theory Bayesian ProbabilityExpectations and Decisions: Mathematical Expectation Decision Theory Chebyshev's InequalityProbability Distribution: Discrete Probability Distribution Bernoulli Distribution Binomial Distribution Hypergeometric Distribution Poisson Distribution Multinomial Distribution Standard Deviation Chi-square Distribution Student's t-DistributionNormal Distribution: Continuous Probability Distribution Normal Distribution Infinite DivisibilitySampling: Simple Random Sample Sampling Distribution Central Limit TheoremTests of Hypotheses: Null Hypothesis Statistical Hypothesis Testing Pearson's Chi-square test Student's t-test Z-test General Linear Model ANOVA Generating Function Non-parametric StatisticsRegression: Regression Analysis Linear Model Linear Regression Nonlinear Regression Kernel Regression Robust RegressionCorrelation: Pearson's product-moment coefficient Non-parametric correlation coefficients Other measures of dependence among random variables Copulas and correlation Correlation matricesApplications: Borel algebra Cumulative Distribution Function Probability Mass Function
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.FEATURES:- Written in concise and clear English - Illustrated with graphs and diagrams - Use your down time to prepare for an exam. - Includes Glossary of probability and statistics TABLE OF CONTENTS:Introduction: History Conceptual overview Statistical methods Specialized disciplines SoftwareProbability: Event Statistical Independence Interpretations Classical definition Permutation Combination Random element Random variable Random VectorRules of Probability: Probability Axioms Odds Probability Theory Bayesian ProbabilityExpectations and Decisions: Mathematical Expectation Decision Theory Chebyshev's InequalityProbability Distribution: Discrete Probability Distribution Bernoulli Distribution Binomial Distribution Hypergeometric Distribution Poisson Distribution Multinomial Distribution Standard Deviation Chi-square Distribution Student's t-DistributionNormal Distribution: Continuous Probability Distribution Normal Distribution Infinite DivisibilitySampling: Simple Random Sample Sampling Distribution Central Limit TheoremTests of Hypotheses: Null Hypothesis Statistical Hypothesis Testing Pearson's Chi-square test Student's t-test Z-test General Linear Model ANOVA Generating Function Non-parametric StatisticsRegression: Regression Analysis Linear Model Linear Regression Nonlinear Regression Kernel Regression Robust RegressionCorrelation: Pearson's product-moment coefficient Non-parametric correlation coefficients Other measures of dependence among random variables Copulas and correlation Correlation matricesApplications: Borel algebra Cumulative Distribution Function Probability Mass Function

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