Inference From Finite Population Sampling PDF Download
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| Author | : Richard Valliant |
| Publisher | : Wiley-Interscience |
| Total Pages | : 546 |
| Release | : 2000-09-08 |
| Genre | : Mathematics |
| ISBN | : |
Download Finite Population Sampling and Inference Book in PDF, ePub and Kindle
Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential in survey sampling for nearly three decades, yet research findings on this model-based approach are scattered in disparate areas of the statistical literature. Finite Population Sampling and Inference: A Prediction Approach presents for the first time a unified treatment of sample design and estimation for finite populations from a prediction point of view, providing readers with access to a wealth of theoretical results, including many new results and, a variety of practical applications. Geared to theoretical statisticians and practitioners alike, the book discusses all topics from the ground up and clearly explains the relation of the prediction approach to the traditional design-based randomization approach. Key features include: * Special emphasis on linking survey sampling to mainstream statistics through extensive use of general linear models * A liberal use of simulation studies, numerical examples, and exercises illustrating theoretical results * Numerous statistical graphics showing simulation results and properties of estimates * A library of S-Plus computer functions plus six real populations, available via ftp * Over 260 references to finite population sampling, linear models, and other relevant literature
| Author | : Yves Tille |
| Publisher | : John Wiley & Sons |
| Total Pages | : 447 |
| Release | : 2020-03-30 |
| Genre | : Mathematics |
| ISBN | : 0470682051 |
Download Sampling and Estimation from Finite Populations Book in PDF, ePub and Kindle
A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.
| Author | : A. S. Hedayat |
| Publisher | : Wiley-Interscience |
| Total Pages | : 0 |
| Release | : 1991-09-03 |
| Genre | : Science |
| ISBN | : 9780471880738 |
Download Design and Inference in Finite Population Sampling Book in PDF, ePub and Kindle
Covers a new but essential development in the field of population sampling, namely inference in finite sampling. Offers some important topics not found in other texts on sampling such as the superpopulation approach and randomized response, nonresponse and resampling techniques.
| Author | : Malay Ghosh |
| Publisher | : Routledge |
| Total Pages | : 296 |
| Release | : 2021-12-17 |
| Genre | : Mathematics |
| ISBN | : 1351464426 |
Download Bayesian Methods for Finite Population Sampling Book in PDF, ePub and Kindle
Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
| Author | : Kashmira Ansuyah Hargovan |
| Publisher | : |
| Total Pages | : 272 |
| Release | : 2007 |
| Genre | : Dissertations, Academic |
| ISBN | : |
Download Inference from Finite Population Sampling Book in PDF, ePub and Kindle
| Author | : Tommy Wright |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 446 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 146123140X |
Download Exact Confidence Bounds when Sampling from Small Finite Universes Book in PDF, ePub and Kindle
There is a very simple and fundamental concept· to much of probability and statistics that can be conveyed using the following problem. PROBLEM. Assume a finite set (universe) of N units where A of the units have a particular attribute. The value of N is known while the value of A is unknown. If a proper subset (sample) of size n is selected randomly and a of the units in the subset are observed to have the particular attribute, what can be said about the unknown value of A? The problem is not new and almost anyone can describe several situations where a particular problem could be presented in this setting. Some recent references with different focuses include Cochran (1977); Williams (1978); Hajek (1981); Stuart (1984); Cassel, Samdal, and Wretman (1977); and Johnson and Kotz (1977). We focus on confidence interval estimation of A. Several methods for exact confidence interval estimation of A exist (Buonaccorsi, 1987, and Peskun, 1990), and this volume presents the theory and an extensive Table for one of them. One of the important contributions in Neyman (1934) is a discussion of the meaning of confidence interval estimation and its relationship with hypothesis testing which we will call the Neyman Approach. In Chapter 3 and following Neyman's Approach for simple random sampling (without replacement), we present an elementary development of exact confidence interval estimation of A as a response to the specific problem cited above.
| Author | : Lih-Yuan Deng |
| Publisher | : |
| Total Pages | : 320 |
| Release | : 1984 |
| Genre | : Sampling (Sampling) |
| ISBN | : |
Download Statistical Inference in Finite Population Sampling when Auxiliary Information is Available Book in PDF, ePub and Kindle
| Author | : Claes-Magnus Cassel |
| Publisher | : |
| Total Pages | : 216 |
| Release | : 1977-08-31 |
| Genre | : Mathematics |
| ISBN | : |
Download Foundations of Inference in Survey Sampling Book in PDF, ePub and Kindle
Basic model of sampling from a population with identifiable units; Inference under the fixed population model: the concepts of sufficiency and likelihood; inference under the fixed population model: criteria for judging estimators and strategies; Inference under superpopulation models: design-unbiased estimation; Inference under superpopulation models: prediction approach using tools of classical inference; Inference under superpopulation models: using tools of bayesian inference; Efficiency robust estimation of the finite population mean.
| Author | : |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 667 |
| Release | : 2009-09-02 |
| Genre | : Mathematics |
| ISBN | : 0080963544 |
Download Sample Surveys: Inference and Analysis Book in PDF, ePub and Kindle
Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 1 deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 2 is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. Comprehensive account of recent developments in sample survey theory and practice Covers a wide variety of diverse applications Comprehensive bibliography
| Author | : Borek Puza |
| Publisher | : ANU Press |
| Total Pages | : 698 |
| Release | : 2015-10-01 |
| Genre | : Mathematics |
| ISBN | : 1921934263 |
Download Bayesian Methods for Statistical Analysis Book in PDF, ePub and Kindle
Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
