We have compiled the list of Best Reference Books on Sampling Theory subject. These books are used by students of top universities, institutes and colleges. Here is the full list of best books on Sampling Theory along with reviews.
Kindly note that we have put a lot of effort into researching the best books on Sampling Theory subject and came out with a recommended list of best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on “Sampling Theory” as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
1. “Theory and Methods of Survey Sampling” by Mukhopadhyay and Parimal
“Theory and Methods of Survey Sampling” Book Review: This book provides nonparametric techniques emphasizing the assumptions underlying the methods. The book provides usage of R software to compute and simulate the nonparametric methods. Textbook for students of course statistics, survey statisticians and practitioners involved in consultancy services, marketing, opinion polls, etc. The book provides review of difficult classical techniques of survey sampling, and also covers predictiontheoretic approach of survey sampling and nonsampling errors. Nonparametric Methods of variance estimation and analysis of complex surveys have been covered. The book also has concepts of unequal probability sampling. Also provides problems of making inference from finite populations using tools of classical inference. It describes nonsampling errors including randomised response techniques. It has examples and also lists some problems and solutions. It also describes density estimation, wavelets and smoothing. It also describes ranked set sampling and Bayesian nonparametrics. The book illustrates examples from the field of agricultural science, astronomy, biology, criminology, education, etc., The book is also an ideal textbook for upperundergraduate and firstyear graduate courses in applied nonparametric statistics.


2. “Some Theories of Sampling (Dover Books on Mathematics)” by W Edwards Deming
“Some Theories of Sampling (Dover Books on Mathematics)” Book Review: The book provides analysis of the problems, theory, and design of sampling techniques. It is a textbook for social scientists, industrial managers and others involved in statistics. It also covers the basics of algebra. The book also covers dozens of actual largescale surveys in government and industry.


3. “Sampling Theory, a Renaissance (Applied and Numerical Harmonic Analysis)” by Götz E Pfander
“Sampling Theory, a Renaissance (Applied and Numerical Harmonic Analysis)” Book Review: The book covers tools designed to recover hidden information on classical sampling theorems. It illustrates the renaissance that the area of sampling theory is currently experiencing. It also covers areas such as compressed sensing, finite frames, parametric partial differential equations, quantization, finite rate of innovation, system theory. Also includes sampling in geometry and algebraic topology.
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4. “Survey Sampling Theory and Applications” by Raghunath Arnab
“Survey Sampling Theory and Applications” Book Review: The book covers basics of sampling theory and practice and overview of survey sampling. Topics listed in the book ranges from basic to advanced survey sampling courses. It also lists recent developments in the area of survey sampling. It includes repetitive sampling over two occasions with varying probabilities, ranked set sampling, fays method for balanced repeated replications, etc. At the end of each chapter theoretical as well as numerical exercises are given. It has research based topics and examples of emerging trends.


5. “New Perspectives on Approximation and Sampling Theory (Applied and Numerical Harmonic Analysis)” by Ahmed I Zayed and Gerhard Schmeisser
“New Perspectives on Approximation and Sampling Theory (Applied and Numerical Harmonic Analysis)” Book Review: It covers chapters on approximation, sampling theory and harmonic analysis. Topics covered include approximation methods using wavelets, multiscale analysis, frames and special functions. It starts with the basic mathematical analysis and process of signal and image processing. Textbook for graduate students in mathematics, applied mathematics and engineering.


6. “Modern Sampling Theory: Mathematics and Applications (Applied and Numerical Harmonic Analysis)” by Paulo J S G Ferreira and John J Benedetto
“Modern Sampling Theory: Mathematics and Applications (Applied and Numerical Harmonic Analysis)” Book Review: The book covers all aspects of sampling theory. It overviews history and development of sampling theory. Theory, methods and applications of topics ranging from multidimensional signal analysis to wavelet transforms are discussed. This book also has a chapter on WSK sampling theory. It also shows how sampling theory is connected to more recent topics in mathematical analysis, such as wavelets, Gabor systems, density theorems and frames.


7. “Survey Sampling: Theory and Methods, Second Edition (Statistics: A Series of Textbooks and Monographs)” by Arijit Chaudhuri and Horst Stenger
“Survey Sampling: Theory and Methods, Second Edition (Statistics: A Series of Textbooks and Monographs)” Book Review: This book has the latest research and the newest methods on survey sampling. It also has increased coverage of methods that combine design and modelbased approaches, adjusting for sample errors. It lists descriptions of new developments and a wider range of approaches to common problems. This is a book for graduate and advanced level students, researchers and practitioners.


8. “Advanced Ranked Set Sampling Theory with Auxiliary Information” by Mehta Nitu
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“Advanced Ranked Set Sampling Theory with Auxiliary Information” Book Review: This book combines simple random sampling with other sources of information such as professional knowledge, auxiliary information, judgement, etc. It also lists properties of ranked set sampling and stratified ranked set sampling. Some empirical studies are also given. It also has uses of auxiliary information for improving the efficiencies of the estimators of population parameters. This book also shows how to formulate estimators for population mean using auxiliary information in ranked set sampling and stratified ranked set sampling.


9. “Sampling Theory and Testing Hypothesis” by Tuli Ram Kumar
“Sampling Theory and Testing Hypothesis” Book Review: This book highlights the developments concerned with the sampling theory and testing of hypotheses and its applications to various disciplines dealing with statistical analysis. It lists key issues pertaining to sampling theory and testing hypothesis. Book for biologists, statisticians and operational researchers.


10. “Sampling Theory for Forest Inventory: A TeachYourself Course” by Pieter G de Vries
“Sampling Theory for Forest Inventory: A TeachYourself Course” Book Review: This book lists sampling techniques used in forest inventory. It shows how large data of forest areas are usually collected by sampling. It also shows how to choose which method suits the given field and financial circumstances best. It also illustrates how after completion of the sampling procedure, the numerous data collected have next to be condensed to manageable representative quantities.
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11. “Categorical Data Analysis” by A Agresti
“Categorical Data Analysis” Book Review: This book contains generalized linear models that connect logistic regression and poisson and negative binomial loglinear models. This book covers logistic and probit regression methods for binary, ordinal and nominal responses. It also contains alternative methods for binary response data, smoothing and regularization methods. It includes classification methods such as linear discriminant analysis and classification trees and cluster analysis. It contains more than 100 analyses of data sets and over 600 exercises for practice. The book is for statisticians and methodologists.


12. “Regression Analysis – Theory, Methods and Applications” by A A Sen and M Srivastava
“Regression Analysis – Theory, Methods and Applications” Book Review: This book covers the theory, methods of regression. It also covers applications of regression analysis. This book contains reallife examples that are encountered in the practice of regression analysis. This book provides a good foundation in the theory of this important subject. It also covers numerous numerical and example problems. This book contains nonparametric methods which can be used by statisticians and practitioners.


13. “Practical Nonparametric Statistics” by W.J. Conover
“Practical Nonparametric Statistics” Book Review: This book is intended mainly for onesemester advanced undergraduate and undergraduate/graduate students. This is also useful for students of introductory courses in nonparametric statistics. The book can also be used by research workers as a quick reference.


14. “Nonparametric Methods in Quantitative Analysis” by J D Gibbons
“Nonparametric Methods in Quantitative Analysis” Book Review: This book contains topics based on research investigations that have appeared in recent social science journals. It contains a discussion on the specific methodology and logical rationale of nonparametric methods that are applicable to most small and large sample sizes. The methods defined are organized according to the type of sample structure. The book also covers the location tests, such as the sign test, the MannWhitneyWilcoxon test, the KruskalWallis test and Friedman′s test. The book can be followed by undergraduate students.


15. “Nonparametric Statistical Methods” by M Hollander and D A Wolfe
“Nonparametric Statistical Methods” Book Review: This book is updated and revised to include modern topics and procedures of nonparametric methods. It includes more practical data sets and new problems from reallife situations. The book describes the importance of nonparametric methods as a significant branch of modern statistics. It provides the technical skills necessary to apply the appropriate procedures for any situation.


16. “Sampling Theory: Beyond Bandlimited Systems” by Yonina C Eldar
“Sampling Theory: Beyond Bandlimited Systems” Book Review: This book is useful for the students of statistics for the course on a sample survey and survey statisticians and practitioners. The book offers classical techniques of survey sampling. It also covers the predictiontheoretic approach of survey sampling and nonsampling errors. This book covers nonparametric methods of variance estimation and analysis of complex surveys. It also covers concepts of unequal probability sampling. It also describes nonsampling errors including Randomised Response Techniques. Over 70 workedout examples and more than 120 problems and solutions are provided.


17. “Recent Advances in Sampling Theory” by Arnab Bandyopadhyay and Abhijit Debnath  
18. “Sampling Theory And Methods” by S Sampath  
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