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Probability and Statistics

By: DeGroot, Morris HContributor(s): Schervish, Mark JMaterial type: TextTextPublication details: New Delhi Pearson India Education Services Pvt. Ltd. 2021 Edition: 4thDescription: 829 pISBN: 9789332573871Subject(s): Probabilities | Mathematical statisticsDDC classification: 519.2 Summary: The revision of this well-respected text 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. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
List(s) this item appears in: Operation & quantitative Techniques | HR & OB
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
General Stacks
Operations Management & Quantitative Techniques 519.2 DEG (Browse shelf(Opens below)) 1 Available 000994
Book Book Indian Institute of Management LRC
General Stacks
Operations Management & Quantitative Techniques 519.2 DEG (Browse shelf(Opens below)) 2 Available 000995

Table of Content
1. Introduction to Probability


2. Conditional Probability

3. Random Variables and Distributions

4. Expectation

5. Special Distributions

6. Large Random Samples

7. Estimation

8. Sampling Distributions of Estimators

9. Testing Hypotheses

10. Categorical Data and Nonparametric Methods

11. Linear Statistical Models

The revision of this well-respected text 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.


Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

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