Numerical methods for nonlinear estimating equations Book

Numerical methods for nonlinear estimating equations, Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use o, Numerical methods for nonlinear estimating equations

3.5 out of 5 stars based on 4 reviews

Numerical methods for nonlinear estimating equations
Written by author Christopher G. Small,Jinfang Wang
Published by Oxford : Oxford University Press, 2003., 2003/10/02
Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use o

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Authors

1 Introduction 1

2 Estimating functions 11

3 Numerical algorithms 37

4 Working with roots 74

5 Methodologies for root selection 125

6 Artificial likelihoods and estimating functions 197

7 Root selection and dynamical systems 241

8 Bayesian estimating functions 272

Bibliography 287

Index 297

Title: Numerical methods for nonlinear estimating equations

Manufacturer:

University Press

Item Number: 9780198506881

Number: 1

Product Description: Numerical methods for nonlinear estimating equations

Universal Product Code (UPC): 9780198506881

WonderClub Stock Keeping Unit (WSKU): 9780198506881

Rating: 3.5/5 based on 4 Reviews

Image Location: https://wonderclub.com/images/covers/68/81/9780198506881.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 9.300 cm (3.66 inches)

Heigh : 6.300 cm (2.48 inches)

Depth: 0.900 cm (0.35 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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Kelly S Hinds

reviewed Numerical methods for nonlinear estimating equations on February 20, 2012

Numerical methods for nonlinear estimating equations

Definitely recommend it, it explains everything in detail and combined with the statistical examples makes it easier to understand. At some point it's just a little too dry but oh well

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Numerical methods for nonlinear estimating equations, Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use o, Numerical methods for nonlinear estimating equations

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Add Numerical methods for nonlinear estimating equations, Non linearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use o, Numerical methods for nonlinear estimating equations to your collection on WonderClub

Numerical methods for nonlinear estimating equations Book

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1	Introduction	1
2	Estimating functions	11
3	Numerical algorithms	37
4	Working with roots	74
5	Methodologies for root selection	125
6	Artificial likelihoods and estimating functions	197
7	Root selection and dynamical systems	241
8	Bayesian estimating functions	272
	Bibliography	287
	Index	297