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Introduction to probability and statistical inference / George Roussas.

By: Material type: TextTextPublication details: Amsterdam ; Boston : Academic Press, ©2003.Description: 1 online resource (xiii, 523 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780080495750
  • 0080495753
  • 1281012203
  • 9781281012203
  • 9786611012205
  • 6611012206
Subject(s): Genre/Form: Additional physical formats: Print version:: Introduction to probability and statistical inference.DDC classification:
  • 519.2 22
LOC classification:
  • QA273 .R865 2003eb
Online resources:
Contents:
Chapter 1 Some Motivating Examples and Some; Fundamental Concepts; Chapter 2 The Concept of Probability and Some Basic Results; Chapter 3 Numerical Characteristics of a Random Variable, Some Special Random Variables; Chapter 4 Joint and Conditionalp.d.f:s, Conditional Expectation and Variance, Moment Generating Function, Covariance and Correlation Coefficient; Chapter 5 Independence of Random Variables and Some Applications; Chapter 6 Transformation of Random Variables; Chapter 7 Some Modes of Convergence of Random Variables, Applications; Chapter 8 An Overview of Statistical Inference; Chapter 9 Point Estimation; Chapter 10 Confidence Intervals and Confidence Regions; Chapter 11 Testing Hypotheses; Chapter 12 More About Testing Hypotheses; Chapter 13 A Simple Linear Regression Model; Chapter 14 Two Analysis of Variance Models; Chapter 15 Some Topics in Nonparametric Inference
Summary: ""The text is wonderfully written and has the mostcomprehensive range of exercise problems that I have ever seen.""--Tapas K. Das, University of South Florida""The exposition is great; a
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Includes index.

Print version record.

Chapter 1 Some Motivating Examples and Some; Fundamental Concepts; Chapter 2 The Concept of Probability and Some Basic Results; Chapter 3 Numerical Characteristics of a Random Variable, Some Special Random Variables; Chapter 4 Joint and Conditionalp.d.f:s, Conditional Expectation and Variance, Moment Generating Function, Covariance and Correlation Coefficient; Chapter 5 Independence of Random Variables and Some Applications; Chapter 6 Transformation of Random Variables; Chapter 7 Some Modes of Convergence of Random Variables, Applications; Chapter 8 An Overview of Statistical Inference; Chapter 9 Point Estimation; Chapter 10 Confidence Intervals and Confidence Regions; Chapter 11 Testing Hypotheses; Chapter 12 More About Testing Hypotheses; Chapter 13 A Simple Linear Regression Model; Chapter 14 Two Analysis of Variance Models; Chapter 15 Some Topics in Nonparametric Inference

""The text is wonderfully written and has the mostcomprehensive range of exercise problems that I have ever seen.""--Tapas K. Das, University of South Florida""The exposition is great; a

English.

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