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Probability and Statistics (Classic Version)

by Morris deGroot

A broad probability and statistics text spanning classical, Bayesian, and simulation methods

Regular price $162.87 USD
Regular price $162.87 USD Sale price $162.87 USD

Paperback New English

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AlbakiReads Editorial

A broad probability and statistics text spanning classical, Bayesian, and simulation methods

This fourth edition organizes probability and statistics around both classical and Bayesian approaches, giving the subject a wider methodological frame than an exclusively introductory treatment. Alongside foundational material, it incorporates simulation methods—including Markov chain Monte Carlo and the bootstrap—and addresses residual analysis for linear models. Examples based on real data connect the statistical tools to applied interpretation. With calculus assumed and some familiarity with vectors and matrices helpful, the book is positioned for sustained study of statistical theory and methods rather than a no-prerequisites overview.

Good fit for readers who enjoy

  • Students taking calculus-based probability and statistics courses
  • Learners seeking exposure to both classical and Bayesian statistical methods
  • Readers studying simulation, bootstrap methods, or linear models

Themes

Probability theoryClassical statisticsBayesian methodsStatistical simulationLinear models

Based on publisher information and book metadata.

Book overview

Probability & Statistics, 4th Edition is a revision of the well-respected text. It presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

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