Read Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)

Russell B. Millar

4.9/5 (27438 ratings)

Description:This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable models and new material for the practical implementation of integrated likelihood using the free ADMB software. Fundamental issues of statistical inference are also examined, with a presentation of some of the philosophical debates underlying the choice of statistical paradigm.Key features: Provides an accessible introduction to pragmatic maximum likelihood modelling.Covers more advanced topics, including general forms of latent variable models (including non-linear and non-normal mixed-effects and state-space models) and the use of maximum likelihood variants, such as estimating equations, conditional likelihood, restricted likelihood and integrated likelihood.Adopts a practical approach, with a focus on providing the relevant tools required by researchers and practitioners who collect and analyze real data.Presents numerous examples and case studies across a wide range of applications including medicine, biology and ecology.Features applications from a range of disciplines, with implementation in R, SAS and/or ADMB.Provides all program code and software extensions on a supporting website.Confines supporting theory to the final chapters to maintain a readable and pragmatic focus of the preceding chapters.This book is not just an accessible and practical text about maximum likelihood, it is a comprehensive guide to modern maximum likelihood estimation and inference. It will be of interest to readers of all levels, from novice to expert. It will be of great benefit to researchers, and to students of statistics from senior undergraduate to graduate level. For use as a course text, exercises are provided at the end of each chapter.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice). To get started finding Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 1119977711

Description: This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable models and new material for the practical implementation of integrated likelihood using the free ADMB software. Fundamental issues of statistical inference are also examined, with a presentation of some of the philosophical debates underlying the choice of statistical paradigm.Key features: Provides an accessible introduction to pragmatic maximum likelihood modelling.Covers more advanced topics, including general forms of latent variable models (including non-linear and non-normal mixed-effects and state-space models) and the use of maximum likelihood variants, such as estimating equations, conditional likelihood, restricted likelihood and integrated likelihood.Adopts a practical approach, with a focus on providing the relevant tools required by researchers and practitioners who collect and analyze real data.Presents numerous examples and case studies across a wide range of applications including medicine, biology and ecology.Features applications from a range of disciplines, with implementation in R, SAS and/or ADMB.Provides all program code and software extensions on a supporting website.Confines supporting theory to the final chapters to maintain a readable and pragmatic focus of the preceding chapters.This book is not just an accessible and practical text about maximum likelihood, it is a comprehensive guide to modern maximum likelihood estimation and inference. It will be of interest to readers of all levels, from novice to expert. It will be of great benefit to researchers, and to students of statistics from senior undergraduate to graduate level. For use as a course text, exercises are provided at the end of each chapter.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice). To get started finding Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)

More Books

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

They chide me for my Grief. [Song.] The poetry by T. Haynes Bayly Esq. The music arranged by Henry Russell, etc. [In fact, entirely composed by T. F. Millar.]

They chide me for my Grief. [Song.] The poetry by T. Haynes Bayly Esq. The music arranged by Henry Russell, etc. [In fact, entirely composed by T. F. Millar.]

Memorial to ... Russell D. Brown and Eliza Millard Brown

Memorial to ... Russell D. Brown and Eliza Millard Brown

Solutions of Silver Perchlorate in Benzene

Solutions of Silver Perchlorate in Benzene

Thermodynamic Properties of Oxygen and Nitrogen (Bureau of Mines Technical Paper 424)

Thermodynamic Properties of Oxygen and Nitrogen (Bureau of Mines Technical Paper 424)

The Atlas of Ancient Worlds

The Atlas of Ancient Worlds

Solutions of silver perchlorate in benzene 1916 [Leather Bound]

Solutions of silver perchlorate in benzene 1916 [Leather Bound]

Days at th Beach

Days at th Beach