Chapter: 8 - Maximum Likelihood Methods for Fitting Parametric Statistical Models

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Home > Statistical Methods for Physical Science > 8 - Maximum Likelihood Methods for Fitting Parametric Statistical Models

Statistical Methods for Physical Science |

John L. Stanford; Stephen B. Vardeman

Academic Press

Statistical Methods for Physical Science

8 - Maximum Likelihood Methods for Fitting Parametric Statistical Models

Chapter Info

Authors

William Q. Meeker; Luis A. Escobar

ARI Id

1665570146009_17307879

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Open/Free Access

Pages

211-244

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Chapters/Headings	Author(s)	Pages	Info
Series page		ii
Series Editor		iii
Copyright		iv
Contributors		xiii-xiv
Preface	John Stanford; Steve Vardeman	xv-xvi
Editors-in-chief		xvii-xix
1 - Introduction to Probability Modeling	William R. Leo	1-34
2 - Common Univariate Distributions	Laurent Hodges	35-61
3 - Random Process Models	Christopher Chatfield	63-92
4 - Models For Spatial Processes	Noel Cressie	93-124
5 - Monte Carlo Methods	Peter Clifford	125-153
6 - Basic Statistical Inference	John Kitchin	155-186
7 - Methods for Assessing Distributional Assumptions in One- and Two-Sample Problems	Vijayan N. Nair; Anne E. Freeny	187-210
8 - Maximum Likelihood Methods for Fitting Parametric Statistical Models	William Q. Meeker; Luis A. Escobar	211-244
9 - Least Squares	George A.F. Seber; Christopher J. Wild	245-281
10 - Filtering and Data Preprocessing for Time Series Analysis	William J. Randel	283-311
Chapter 11 - Spectral Analysis of Univariate and Bivariate Time Series	B. Percival. Donald	313-348
12 - Weak Periodic Signals in Point Process Data	David A. Lewis	349-373
13 - Statistical Analysis of Spatial Data	Dale L. Zimmerman	375-402
14 - Bayesian Methods	Harry F. Martz; Ray A. Waller	403-432
Chapters/Headings	Author(s)	Pages	Info

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