T Classes Of Linear Estimators And The Thoery Of Successive Sampling
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T Classes Of Linear Estimators And The Thoery Of Successive Sampling
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Author : G.C. Tikkiwal
language : en
Publisher: Scientific Publishers
Release Date : 2010-03-01
T Classes Of Linear Estimators And The Thoery Of Successive Sampling written by G.C. Tikkiwal and has been published by Scientific Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-01 with Science categories.
The book is concerned with the study of different classes of linear estimators in survey sampling, known as T-classes of linear estimators and the theory of successive sampling. The theory of classification of linear estimators in different classes has been developed mainly by Horvitz and Thompson, Godambe, Koop, Prabhu Ajgaonkar, Tikkiwal and the theory of successive sampling by Jessen, Yates, Paterson, Tikkiwal and others. The book presents a detailed study of all the seven T-classes along with the unified theory of unordering. It also discusses the technique of combined unordering and its applications. The chapter on the theory of successive sampling deals with the theory under less restrictive assumptions for finite population, there by making it possible to obtain the main results given in text books on survey sampling, as a special case of the these results. The theory of T-classes along with the theory of successive sampling provide more serviceable estimation procedure based on the time honoured principles of inference than the one provided by Basu, Godambe and others. The material present in this book is meant for one specialised sample survey course in semester scheme for the post graduate students of statistics. Therefore, it can be used as a text book. The book is also useful for research students and faculty engaged in research on theoretical foundations of inference from finite population.
T Classes Of Linear Estimators And The Theory Of Successive Sampling
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Author :
language : en
Publisher:
Release Date : 2010
T Classes Of Linear Estimators And The Theory Of Successive Sampling written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Estimation theory categories.
Nbs Special Publication
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Author :
language : en
Publisher:
Release Date : 1970
Nbs Special Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Weights and measures categories.
Bulletin De L Institut International De Statistique
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Author :
language : en
Publisher:
Release Date : 1979
Bulletin De L Institut International De Statistique written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Statistics categories.
Sankhy
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Author :
language : en
Publisher:
Release Date : 1980
Sankhy written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Mathematical statistics categories.
Linear Models In Statistics
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Author : Alvin C. Rencher
language : en
Publisher: John Wiley & Sons
Release Date : 2008-01-07
Linear Models In Statistics written by Alvin C. Rencher and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-07 with Mathematics categories.
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.
Introduction To Variance Estimation
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Author : Kirk Wolter
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-13
Introduction To Variance Estimation written by Kirk Wolter 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 2007-08-13 with Mathematics categories.
We live in the information age. Statistical surveys are used every day to determine or evaluate public policy and to make important business decisions. Correct methods for computing the precision of the survey data and for making inferences to the target population are absolutely essential to sound decision making. Now in its second edition, Introduction to Variance Estimation has for more than twenty years provided the definitive account of the theory and methods for correct precision calculations and inference, including examples of modern, complex surveys in which the methods have been used successfully. The book provides instruction on the methods that are vital to data-driven decision making in business, government, and academe. It will appeal to survey statisticians and other scientists engaged in the planning and conduct of survey research, and to those analyzing survey data and charged with extracting compelling information from such data. It will appeal to graduate students and university faculty who are focused on the development of new theory and methods and on the evaluation of alternative methods. Software developers concerned with creating the computer tools necessary to enable sound decision-making will find it essential. Prerequisites include knowledge of the theory and methods of mathematical statistics and graduate coursework in survey statistics. Practical experience with real surveys is a plus and may be traded off against a portion of the requirement for graduate coursework. This second edition reflects shifts in the theory and practice of sample surveys that have occurred since the content of the first edition solidified in the early 1980’s. Additional replication type methods appeared during this period and have featured prominently in journal publications. Reflecting these developments, the second edition now includes a new major chapter on the bootstrap method of variance estimation. This edition also includes extensive new material on Taylor series methods, especially as they apply to newer methods of analysis such as logistic regression or the generalized regression estimator. An introductory section on survey weighting has been added. Sections on Hadamard matrices and computer software have been substantially scaled back. Fresh material on these topics is now readily available on the Internet or from commercial sources. Kirk Wolter is a Senior Fellow at NORC, Director of the Center for Excellency in Survey Research, and Professor in the Department of Statistics, University of Chicago. He is a Fellow of the American Statistical Association and a Member of the International Statistical Institute. He is a past president of the International Association of Survey Statisticians and a past chair of the Survey Research Methods Section of the American Statistical Association. During the last 35 years, he has participated in the planning, execution, and analysis of large-scale complex surveys andhas provided instruction in survey statistics both in America and around the world.
Journal Of The Indian Society Of Agricultural Statistics
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Author : Indian Society of Agricultural Statistics
language : en
Publisher:
Release Date : 1975
Journal Of The Indian Society Of Agricultural Statistics written by Indian Society of Agricultural Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Agriculture categories.
Includes articles along with Society's activities.
Unified Theory And Strategies Of Survey Sampling
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Author : Arijit Chaudhuri
language : en
Publisher: North Holland
Release Date : 1988
Unified Theory And Strategies Of Survey Sampling written by Arijit Chaudhuri and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Mathematics categories.
Sample survey is universally recognized as a vital method of data collection to derive reliable statistics on a variety of topics. This volume is mainly concerned with the foundational aspects of inference and the description and comparison of various sampling strategies.
Actes De La Session
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Author : International Statistical Institute
language : en
Publisher:
Release Date : 1979
Actes De La Session written by International Statistical Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Statistics categories.