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Macmillan Higher Education

Probability

Author(s):
Publisher:

Springer

Pages: 560
Further Actions:

Recommend to library

AVAILABLE FORMATS

Hardcover - 9780387979748

03 June 1993

$109.00

In stock

Paperback - 9780387945941

01 April 1997

$109.00

In stock


Ebook - 9781461243748

06 December 2012

$109.00

In stock

This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised so a student can learn the fundamental ideas of probability from the first...

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This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail.


The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.

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1 Introduction
1.1 Equally Likely Outcomes
1.2 Interpretations
1.3 Distributions
1.4 Conditional Probability and Independence
1.5 Bayes’ Rule
1.6 Sequences of Events
Summary
Review Exercises
2 Repeated Trials and Sampling
2.1 The Binomial Distribution
2.2 Normal Approximation: Method
2.3 Normal Approximation: Derivation (Optional)
2.4 Poisson Approximation
2.5 Random Sampling
Summary
Review Exercises
3 Random Variables
3.1 Introduction
3.2 Expectation
3.3 Standard Deviation and Normal Approximation
3.4 Discrete Distributions
3.5 The Poisson Distribution
3.6 Symmetry (Optional)
Summary
Review Exercises
4 Continuous Distributions
4.1 Probability Densities
4.2 Exponential and Gamma Distributions
4.3 Hazard Rates (Optional)
4.4 Change of Variable
4.5 Cumulative Distribution Functions
4.6 Order Statistics (Optional)
Summary
Review Exercises
5 Continuous Joint Distributions
5.1 Uniform Distributions
5.2 Densities
5.3 Independent Normal Variables
5.4 Operations (Optional)
Summary
Review Exercises
6 Dependence
6.1 Conditional Distributions: Discrete Case
6.2 Conditional Expectation: Discrete Case
6.3 Conditioning: Density Case
6.4 Covariance and Correlation
6.5 Bivariate Normal
Summary
Review Exercises
Distribution Summaries
Discrete
Continuous
Beta
Binomial
Exponential
Gamma
Geometric and Negative Binomial
Hypergeometrie
Normal
Poisson
Uniform
Examinations
Solutions to Examinations
Appendices
1 Counting
2 Sums
3 Calculus
4 Exponents and Logarithms
5 Normal Table
Brief Solutions to Odd-Numbered Exercises.
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Jim Pitman is a Professor in the Departments of Statistics and Mathematics in the University of California at Berkeley, USA. 

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Jim Pitman is a Professor in the Departments of Statistics and Mathematics in the University of California at Berkeley, USA. 

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