## Probability and StatisticsThe revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data.
Introduction to Probability; Conditional Probability; Random Variables and Distribution; Expectation; Special Distributions; Estimation; Sampling Distributions of Estimators; Testing Hypotheses; Categorical Data and Nonparametric Methods; Linear Statistical Models; Simulation
For all readers interested in probability and statistics. |

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#### Review: Probability and Statistics

User Review - Moon Na - GoodreadsI used this book while attending the introduction to statistical method for economists course in my bachelor, however, just finished it recently. De Groot wrote it in detailed and clear way. Among ... Read full review

#### Review: Probability and Statistics

User Review - GoodreadsBest book I have read on both subjects. Just the right amount of math for someone that knows calc (doesn't need a hand held), but isn't a mathematicians (very simple proofs). Read full review

### Contents

Introduction to Probability | 1 |

Conditional Probability | 49 |

Random Variables and Distributions | 97 |

Copyright | |

11 other sections not shown