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Mathematical Statistics : A Unified Introduction

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Cover of 'Mathematical Statistics : A Unified Introduction'

Table of Contents

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    Book Overview
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    Chapter 1 Getting Started
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    Chapter 2 Structural Models for Data
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    Chapter 3 Least Squares Methods
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    Chapter 4 Mathematical Statistics
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    Chapter 5 Other Probability Models
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    Chapter 6 Discrete Random Variables I: The Hypergeometric Process
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    Chapter 7 Discrete Random Variables II: The Bernoulli Process
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    Chapter 8 Random Vectors and Random Samples
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    Chapter 9 Maximum Likelihood Estimates for Discrete Models
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    Chapter 10 Continuous Random Variables I: The Gamma and Beta Families
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    Chapter 11 Continuous Random Variables II: Expectations and the Normal Family
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    Chapter 12 Continuous Random Vectors
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    Chapter 13 Sampling Statistics for the Linear Model
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    Chapter 14 Representing Distributions
Attention for Chapter 5: Other Probability Models
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Citations

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Chapter title
Other Probability Models
Chapter number 5
Book title
Mathematical Statistics
Published by
Springer, New York, NY, January 1999
DOI 10.1007/0-387-22769-5_5
Book ISBNs
978-0-387-98621-0, 978-0-387-22769-6
View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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