Advanced Sampling Theory with Applications

Advanced Sampling Theory with Applications
Author: S. Singh
Publisher: Springer Science & Business Media
Total Pages: 1242
Release: 2013-01-07
Genre: Medical
ISBN: 9400707894

This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical guide by statisticians. It covers 1165 references from different research journals through almost 1900 citations across 1194 pages, a large number of complete proofs of theorems, important results such as corollaries, and 324 unsolved exercises from several research papers. It includes 159 solved, data-based, real life numerical examples in disciplines such as Agriculture, Demography, Social Science, Applied Economics, Engineering, Medicine, and Survey Sampling. These solved examples are very useful for an understanding of the applications of advanced sampling theory in our daily life and in diverse fields of science. An additional 173 unsolved practical problems are given at the end of the chapters. University and college professors may find these useful when assigning exercises to students. Each exercise gives exposure to several complete research papers for researchers/students.

Modern Sampling Theory

Modern Sampling Theory
Author: John J. Benedetto
Publisher: Springer Science & Business Media
Total Pages: 423
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461201438

A state-of-the-art edited survey covering all aspects of sampling theory. Theory, methods and applications are discussed in authoritative expositions ranging from multi-dimensional signal analysis to wavelet transforms. The book is an essential up-to-date resource.

Survey Sampling Theory and Applications

Survey Sampling Theory and Applications
Author: Raghunath Arnab
Publisher: Academic Press
Total Pages: 932
Release: 2017-03-08
Genre: Mathematics
ISBN: 0128118970

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises

Ranked Set Sampling

Ranked Set Sampling
Author: Zehua Chen
Publisher: Springer Science & Business Media
Total Pages: 235
Release: 2013-03-09
Genre: Mathematics
ISBN: 0387216642

The first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application areas such as agriculture, forestry, sociology, ecological and environmental science, and medical studies. It can serve as a reference book and as a textbook for a short course at the graduate level.

Nonuniform Sampling

Nonuniform Sampling
Author: Farokh Marvasti
Publisher: Springer Science & Business Media
Total Pages: 938
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461512298

Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and stock market analysts forecast the future from past and present events (extrapolation). The 20 chapters of Nonuniform Sampling: Theory and Practice contain contributions by leading researchers in nonuniform and Shannon sampling, zero crossing, and interpolation theory. Its practical applications include NMR, seismology, speech and image coding, modulation and coding, optimal content, array processing, and digital filter design. It has a tutorial outlook for practising engineers and advanced students in science, engineering, and mathematics. It is also a useful reference for scientists and engineers working in the areas of medical imaging, geophysics, astronomy, biomedical engineering, computer graphics, digital filter design, speech and video processing, and phased array radar.

Advanced Sampling Theory With Applications

Advanced Sampling Theory With Applications
Author: Sarjinder Singh
Publisher: Springer Science & Business Media
Total Pages: 640
Release: 2003
Genre: Mathematics
ISBN: 9781402017070

A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.

Sampling Theory and Practice

Sampling Theory and Practice
Author: Changbao Wu
Publisher: Springer Nature
Total Pages: 371
Release: 2020-05-15
Genre: Social Science
ISBN: 3030442462

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

Sampling Theory of Surveys, with Applications

Sampling Theory of Surveys, with Applications
Author: Pandurang Vasudeo Sukhatme
Publisher:
Total Pages: 528
Release: 1954
Genre: Sampling (Statistics).
ISBN:

Basic theory: simple random sampling. Sampling with varying probabilities. Stratified sampling. Ratio method of estimation. Regression method estimation. Choice of sampling unit. Sub-sampling. Systematic sampling. Non-sampling errors.

Sampling Theory

Sampling Theory
Author: Yonina C. Eldar
Publisher: Cambridge University Press
Total Pages: 837
Release: 2015-04-09
Genre: Computers
ISBN: 1107003393

A comprehensive guide to sampling for engineers, covering the fundamental mathematical underpinnings together with practical engineering principles and applications.