The Efficient Use Of Supplementary Information In Finite Population Sampling
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The Efficient Use Of Supplementary Information In Finite Population Sampling
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Author : Rajesh Singh
language : en
Publisher: Infinite Study
Release Date : 2014
The Efficient Use Of Supplementary Information In Finite Population Sampling written by Rajesh Singh and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Population categories.
The purpose of writing this book is to suggest some improved estimators using auxiliary information in sampling schemes like simple random sampling, systematic sampling and stratified random sampling. This volume is a collection of five papers, written by nine co-authors (listed in the order of the papers): Rajesh Singh, Mukesh Kumar, Manoj Kr. Chaudhary, Cem Kadilar, Prayas Sharma, Florentin Smarandache, Anil Prajapati, Hemant Verma, and Viplav Kr. Singh. In first paper dual to ratio-cum-product estimator is suggested and its properties are studied. In second paper an exponential ratio-product type estimator in stratified random sampling is proposed and its properties are studied under second order approximation. In third paper some estimators are proposed in two-phase sampling and their properties are studied in the presence of non-response. In fourth chapter a family of median based estimator is proposed in simple random sampling. In fifth paper some difference type estimators are suggested in simple random sampling and stratified random sampling and their properties are studied in presence of measurement error.
Advanced Sampling Theory With Applications
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Author : S. Singh
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-07
Advanced Sampling Theory With Applications written by S. Singh 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 2013-01-07 with Medical categories.
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.
Theory And Methods Of Survey Sampling
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Author : PARIMAL MUKHOPADHYAY
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2008-12-19
Theory And Methods Of Survey Sampling written by PARIMAL MUKHOPADHYAY and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-19 with Technology & Engineering categories.
This is a comprehensive exposition of survey sampling useful both to the students of statistics for the course on sample survey and to the survey statisticians and practitioners involved in consultancy services, marketing, opinion polls, and so on. The text offers updated review of difficult classical techniques of survey sampling, besides covering prediction-theoretic approach of survey sampling and nonsampling errors. NEW TO THIS EDITION Two new chapters—Nonparametric Methods of Variance Estimation (Chapter 19) and Analysis of Complex Surveys (Chapter 20)—have been added. These would greatly benefit the readers. KEY FEATURES Covers concepts of unequal probability sampling. Provides problems of making inference from finite population using tools of classical inference. Describes nonsampling errors including Randomised Response Techniques. Gives over 70 worked-out examples and more than 120 problems and solutions. Supplies live data from India and Sweden—in examples and exercises. What the Reviewer says: This is a very comprehensive modern text on survey sampling with a strong slant towards theoretical results. The book is an excellent reference book and would be a good graduate level sampling text for a course with an emphasis on sampling theory. — JESSE C. ARNOLD, Virginia Polytechnic Institute and State University
Current Index To Statistics Applications Methods And Theory
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Author :
language : en
Publisher:
Release Date : 1998
Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematical statistics categories.
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
The Science Of Carbon Sequestration And Capture
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Author : Frank R. Spellman
language : en
Publisher: CRC Press
Release Date : 2023-12-11
The Science Of Carbon Sequestration And Capture written by Frank R. Spellman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-11 with Technology & Engineering categories.
The Science of Carbon Sequestration and Capture examines the current scientific underpinnings of carbon capture and storage (CCS) and provides readers with sufficient background on the basics of geology, natural science, and chemical and environmental engineering so that they can understand the current state and art of the CCS field. Moreover, this book provides a wide-ranging discussion presented in the author’s comprehensible conversational style describing the impact of CCS on climate, health, society in general, and the energy landscape. The book is directed at undergraduate and graduate students, professionals, scientists, and the general reading public who would like to gain a broad multidisciplinary view of one of the greatest challenges of our generation. Features: Aims to fill the gap of missing information in published texts dealing with the carbon sequestration and capture revolution currently underway Provides an understanding of current science buttressing carbon capture and sequestration practices Explains the complexities of carbon sequestration and capture systems in basic and understandable terms
New Modification Of Ranked Set Sampling For Estimating Population Mean Neutrosophic Median Ranked Set Sampling With An Application To Demographic Data
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Author : Anamika Kumari
language : en
Publisher: Infinite Study
Release Date : 2024-08-08
New Modification Of Ranked Set Sampling For Estimating Population Mean Neutrosophic Median Ranked Set Sampling With An Application To Demographic Data written by Anamika Kumari and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-08 with Mathematics categories.
The study addressed the limitations of classical statistical methods when dealing with ambiguous data, emphasizing the importance of adopting neutrosophic statistics as a more effective alternative. Classical methods falter in managing uncertainty inherent in such data, necessitating a shift towards methodologies like neutrosophic statistics. To address this gap, the research introduced a novel sampling approach called “neutrosophic median ranked set sampling” and incorporated neutrosophic estimators tailored for estimating the population mean in the presence of ambiguity. This modification aims to address the inherent challenges associated with estimating the population mean when dealing with neutrosophic data. The methods employed involved modifying traditional ranked set sampling techniques to accommodate neutrosophic data characteristics. Additionally, neutrosophic estimators were developed to leverage auxiliary information within the framework of median-ranked set sampling, enhancing the accuracy of population mean estimation under uncertain conditions. The methods employed involved modifying traditional ranked set sampling techniques to accommodate neutrosophic data characteristics. Bias and mean squared error equations for the suggested estimators were provided, offering insights into their theoretical underpinnings. To illustrate the effectiveness and practical applications of the proposed methodology and estimators, a numerical demonstration and simulation study have been conducted using the R programming language. The key results highlighted the superior performance of the proposed estimators compared to existing alternatives, as demonstrated through comprehensive evaluations based on mean squared error and percentage relative efficiency criteria. The conclusions drawn underscored the effectiveness of the neutrosophic median ranked set sampling approach and suggested estimators in estimating the population mean under conditions of uncertainty, particularly when utilizing neutrosophic auxiliary information and validated real-life applicability. The methodology and estimators presented in the study were shown to yield interval-based results, providing a more realistic representation of uncertainty associated with population parameters. This interval estimation, coupled with minimum mean squared error considerations, enhanced the efficacy of the estimators in determining population mean values. The novelty of the work lies in its introduction of a tailored sampling approach and estimators designed specifically for neutrosophic data, filling a significant gap in the literature. By extending classical statistics to accommodate ambiguity, the study offers a substantial advancement in statistical methodology, particularly in domains where precise data is scarce and uncertainty is prevalent. Furthermore, the empirical validation through numerical demonstrations and simulation studies using the R programming language adds robustness to the proposed methodology and contributes to its practical applicability.
Journal Of Applied Statistical Science
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Author :
language : en
Publisher:
Release Date : 1993
Journal Of Applied Statistical Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Mathematical statistics categories.
Survey Sampling Principles
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Author : E.K. Foreman
language : en
Publisher: CRC Press
Release Date : 1991-06-28
Survey Sampling Principles written by E.K. Foreman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-06-28 with Mathematics categories.
An introduction to the essentially mathematical principles of survey sampling as they are applied in practice. Intended for survey sampling theorists and practitioners, as a guide for those who may have to design and conduct a survey, and for those commissioning, organizing, and overseeing survey op
Advanced Sampling Theory With Applications
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Author : Sarjinder Singh
language : en
Publisher: Springer Science & Business Media
Release Date : 2003
Advanced Sampling Theory With Applications written by Sarjinder Singh 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 2003 with Mathematics categories.
A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.
Statistical Methods And Applications In Forestry And Environmental Sciences
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Author : Girish Chandra
language : en
Publisher: Springer Nature
Release Date : 2020-01-04
Statistical Methods And Applications In Forestry And Environmental Sciences written by Girish Chandra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-04 with Medical categories.
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.