Estimating Functions
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Estimating Functions
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Author : V. P. Godambe
language : en
Publisher:
Release Date :
Estimating Functions written by V. P. Godambe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Estimation theory categories.
An Introduction To Estimating Functions
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Author : Parimal Mukhopadhyay
language : en
Publisher: Alpha Science Int'l Ltd.
Release Date : 2004
An Introduction To Estimating Functions written by Parimal Mukhopadhyay and has been published by Alpha Science Int'l Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
The theory of estimating functions plays a major role in analysis of data pertaining to Biostatistics, Econometrics, Time Series Analysis, Reliability studies and other varied fields. This book discusses at length the application of the theory in interpretation of results in Survey Sampling.
Selected Proceedings Of The Symposium On Estimating Functions
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Author : Ishwar V. Basawa
language : en
Publisher: IMS
Release Date : 1997
Selected Proceedings Of The Symposium On Estimating Functions written by Ishwar V. Basawa and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mathematics categories.
Numerical Methods For Nonlinear Estimating Equations
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Author : Christopher G. Small
language : en
Publisher: Oxford University Press
Release Date : 2003
Numerical Methods For Nonlinear Estimating Equations written by Christopher G. Small and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.
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 of root search algorithms, or one-step estimators, is a standard method of solution. This book provides a comprehensive study of nonlinear estimating equations and artificial likelihood's for statistical inference. It provides extensive coverage and comparison of hill climbing algorithms, which when started at points of nonconcavity often have very poor convergence properties, and for additional flexibility proposes a number of modification to the standard methods for solving these algorithms. The book also extends beyond simple root search algorithms to include a discussion of the testing of roots for consistency, and the modification of available estimating functions to provide greater stability in inference. A variety of examples from practical applications are included to illustrate the problems and possibilities thus making this text ideal for the research statistician and graduate student.
Generalized Estimating Equations
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Author : James W. Hardin
language : en
Publisher: CRC Press
Release Date : 2012-12-10
Generalized Estimating Equations written by James W. Hardin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-10 with Mathematics categories.
Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, al
General Estimating Function Theory
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Author : John Hanfelt
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2009-04-01
General Estimating Function Theory written by John Hanfelt and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-01 with Mathematics categories.
From the fully parametric setting to the semiparametric setting, General Estimating Function Theoryprovides a comprehensive introduction to the increasingly popular theory of estimating functions, which offers a unified framework for the study of many seemingly diverse methods of estimation. The book focuses on the significance of the modern theory rather than on mathematical rigor. It explores biostatistics topics, including artificial likelihoods, nuisance parameters, and model selection methods. The text also provides appendices on regularity conditions as well as Hilbert space and orthogonal projections.
Generalized Estimating Equations
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Author : Andreas Ziegler
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-17
Generalized Estimating Equations written by Andreas Ziegler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-17 with Mathematics categories.
Generalized estimating equations have become increasingly popular in biometrical, econometrical, and psychometrical applications because they overcome the classical assumptions of statistics, i.e. independence and normality, which are too restrictive for many problems. Therefore, the main goal of this book is to give a systematic presentation of the original generalized estimating equations (GEE) and some of its further developments. Subsequently, the emphasis is put on the unification of various GEE approaches. This is done by the use of two different estimation techniques, the pseudo maximum likelihood (PML) method and the generalized method of moments (GMM). The author details the statistical foundation of the GEE approach using more general estimation techniques. The book could therefore be used as basis for a course to graduate students in statistics, biostatistics, or econometrics, and will be useful to practitioners in the same fields.
Practical Software Estimation
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Author : M. A. Parthasarathy
language : en
Publisher: Pearson Education
Release Date : 2003-02-25
Practical Software Estimation written by M. A. Parthasarathy and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-02-25 with Computers categories.
"A clearly written book that is a useful primer for a very complicated set of topics." --Capers Jones, Chief Scientist Emeritus, Software Productivity Research LLC Practical Software Estimation brings together today's most valuable tips, techniques, and best practices for accurately estimating software project efforts, costs, and schedules. Written by a leading expert in the field, it addresses the full spectrum of real-world challenges faced by those who must develop reliable estimates. M. A. Parthasarathy draws on the immense experience of Infosys, one of the world's largest and most respected providers of IT-enabled business solutions, to bring you the only book with detailed guidance on estimating insourced and outsourced software projects, as well as projects that blend both approaches. He demonstrates how to successfully utilize Function Point (FP) methods, the industry's leading estimation model. Then, using real case studies, he systematically identifies pitfalls that can lead to inaccurate estimates--and offers proven solutions. Coverage includes How to estimate all types of software projects, including "fresh" development, reengineering, and maintenance How to incorporate the impact of core project elements on estimates: scope, environment, experience, and tools FP analysis from start to finish: data and transaction functions, general system characteristics, and more FP methods for any platform or business function Innovative re-estimation methods to track progress How to quote RFPs and prepare contracts: fixed price, time/material, and project execution lifecycle models Alternatives to FP: Delphi, COCOMO II, and COSMIC-FFP How to choose the right estimation tools Practical Software Estimation is the definitive reference for anyone who must estimate software projects accurately: project and IT managers, individual developers, system designers, architects, executives, consultants, and outsourcers alike. List of Figures List of Tables Foreword Preface Acknowledgments Chapter 1: Introduction Chapter 2: Role of Estimation in Software Projects Chapter 3: A Study of Function Point Analysis Chapter 4: Data Functions Chapter 5: Transactional Functions Chapter 6: General System Characteristics Chapter 7: Size, Effort, and Scheduling of Projects Chapter 8: Estimation Flavors Chapter 9: A Sense of Where You Are Chapter 10: Tips, Tricks, and Traps Chapter 11: Insourcing versus Outsourcing Chapter 12: Key Factors in Software Contracts Chapter 13: Project Estimation and Costing Chapter 14: Other Estimation Methods Chapter 15: Estimation Tools Chapter 16: Estimation Case Study Appendix A: Reference Tables: Transaction Function Counts Appendix B: Reference Tables: Data Function Points Bibliography Index
Asymptotic Analysis Of Estimating Functions
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Author : Bing Li
language : en
Publisher:
Release Date : 2006-02-01
Asymptotic Analysis Of Estimating Functions written by Bing Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-01 with Asymptotic efficiencies (Statistics) categories.
The area of estimating functions has wide applications and has undergone rapid development during the recent years. As a theory, it is sufficiently general to include most of the important aspects of the classical theory of statistical inference and to accomodate a variety of the more recent themes such as the Generalized Linear Models (GLM), the Generalized Estimating Equations (GEE), the Generalized Linear Mixed Effect Models (GLMM), the various forms of Autoregressive Conditionally Heteroscedastic models (ARCH), the Restrictive Maximum Likelihood (REML), the Empirical Likelihood, as well as many estsimators in Surivval Analysis, Nonparametric Regression, and Spatial Statistics. By the constructive nature of this theory, it will no doubt also provide us with the insights to derive new statistical procedures for scientific problems that will arise. Yet, these advantages do not make the subject more difficult to understand, for it is built on a handful of elementary tools such as linearization and projection, which apply repeatedly at different levels of sophistication.
Estimating Density Functions
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Author : Michael X. Dong
language : en
Publisher:
Release Date : 1996
Estimating Density Functions written by Michael X. Dong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Mathematical optimization categories.