A Class of Double Sampling Log Type Estimators for Population Variance Using Two Auxiliary Variable PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Class of Double Sampling Log Type Estimators for Population Variance Using Two Auxiliary Variable PDF full book. Access full book title A Class of Double Sampling Log Type Estimators for Population Variance Using Two Auxiliary Variable by Shashi Bhushan. Download full books in PDF and EPUB format.
Author: Shashi Bhushan
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 5
Get Book Here
Book Description
In this paper, a class of log-type estimator using two auxiliary information is proposed. Double sampling technique has been considered as it is assumed that the auxiliary information about the auxiliary variable is unknown. Bias and mean squared error has been found up to the first order of approximation. The proposed classes are compared to some commonly used estimators both theoretically as well as empirically and they perform better than commonly known estimators available in the literature.
Author: Shashi Bhushan
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 5
Get Book Here
Book Description
In this paper, a class of log-type estimator using two auxiliary information is proposed. Double sampling technique has been considered as it is assumed that the auxiliary information about the auxiliary variable is unknown. Bias and mean squared error has been found up to the first order of approximation. The proposed classes are compared to some commonly used estimators both theoretically as well as empirically and they perform better than commonly known estimators available in the literature.
Author: Viplav Kumar Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12
Get Book Here
Book Description
In this article we have proposed an efficient generalised class of estimator using two auxiliary variables for estimating unknown population variance 2 yS of study variable y .We have also extended our problem to the case of two phase sampling. In support of theoretical results we have included an empirical study.
Author: Jack Allen
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 21
Get Book Here
Book Description
In this paper we have suggested two classes of estimators for population median MY of the study character Y using information on two auxiliary characters X and Z in double sampling. It has been shown that the suggested classes of estimators are more efficient than the one suggested by Singh et al (2001). Estimators based on estimated optimum values have been also considered with their properties. The optimum values of the first phase and second phase sample sizes are also obtained for the fixed cost of survey.
Author: Munir Ahmad
Publisher: Cambridge Scholars Publishing
ISBN: 1443825220
Category : Social Science
Languages : en
Pages : 240
Get Book Here
Book Description
Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning, it has numerous advantages over the classical sampling techniques. Ranked Set Sampling is doubly random and can be used in any survey designs. The Pakistan Journal of Statistics had attracted statisticians and samplers around the world to write up aspects of Ranked Set Sampling. All of the essays in this book have been reviewed by many critics. This volume can be used as a reference book for postgraduate students in economics, social sciences, medical and biological sciences, and statistics. The subject is still a hot topic for MPhil and PhD students for their dissertations.
Author: Zahoor Ahmad
Publisher: Cambridge Scholars Publishing
ISBN: 1443867985
Category : Mathematics
Languages : en
Pages : 235
Get Book Here
Book Description
The development of estimators of population parameters based on two-phase sampling schemes has seen a dramatic increase in the past decade. Various authors have developed estimators of population using either one or two auxiliary variables. The present volume is a comprehensive collection of estimators available in single and two phase sampling. The book covers estimators which utilize information on single, two and multiple auxiliary variables of both quantitative and qualitative nature. The estimators discussed in the text are based upon different mechanisms of the availability of auxiliary information, termed here as Full, Partial and No Information. Multivariate estimators in survey sampling are also discussed in the book. Two Phase Sampling will prove an invaluable point of reference for researchers working in the field of survey sampling in general and in the field of two-phase sampling in particular.
Author: Parimal Mukhopadhyay
Publisher: Springer Science & Business Media
ISBN: 1461220882
Category : Mathematics
Languages : en
Pages : 300
Get Book Here
Book Description
The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet. The proposed book aims at making a comprehensive review of applications of Bayes procedures, Empirical Bayes procedures and their ramifications (like linear Bayes estimation, restricted Bayes least square prediction, constrained Bayes estimation, Bayesian robustness) in making inference from a finite population sampling. Parimal Mukhopadhyay is Professor at the Indian Statistical Institute (ISI), Calcutta. He received his Ph.D. degree in Statistics from the University of Calcutta in 1977. He also served as a faculty member in the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at University of Montreal, University of Windsor, Stockholm University, University of Western Australia, etc. He has to his credit more than fifty research papers in Survey Sampling, some co-authored, three text books on Statistics and three research monographs in Survey Sampling. He is a member of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute.
Author: Daniel A. Griffith
Publisher: Springer Science & Business Media
ISBN: 3540248064
Category : Science
Languages : en
Pages : 261
Get Book Here
Book Description
Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.
Author: Pandurang Vasudeo Sukhatme
Publisher:
ISBN:
Category : Sampling (Statistics).
Languages : en
Pages : 528
Get Book Here
Book Description
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.
Author: Kirk Wolter
Publisher: Springer Science & Business Media
ISBN: 9780387406220
Category : Education
Languages : en
Pages : 504
Get Book Here
Book Description
Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to large, complex surveys; and to provide an easy reference for the survey researcher who is faced with the problem of estimating variances for real survey data.
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 948
Get Book Here
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
