Selecting and Ordering Populations

Selecting and Ordering Populations PDF Author: Jean Dickinson Gibbons
Publisher: SIAM
ISBN: 0898714397
Category : Mathematics
Languages : en
Pages : 589

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Book Description
Provides a compendium of applied aspects of ordering and selection procedures.

Selecting and Ordering Populations

Selecting and Ordering Populations PDF Author: Jean Dickinson Gibbons
Publisher: SIAM
ISBN: 0898714397
Category : Mathematics
Languages : en
Pages : 589

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Book Description
Provides a compendium of applied aspects of ordering and selection procedures.

Operational procedures for selecting samples for repeated agricultural surveys with a rotation design

Operational procedures for selecting samples for repeated agricultural surveys with a rotation design PDF Author: Bako, D.
Publisher: Food & Agriculture Org.
ISBN: 925134194X
Category : Technology & Engineering
Languages : en
Pages : 32

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Book Description
This document is part of the FAO Statistics Working Paper Series and part of the methodological works of the Survey Team of the FAO Statistics Division to provide operational guidance on selected areas of agricultural survey methodology with an overall objective to promote cost effective practices in agricultural surveys implementation. The main objective of this note is to present how to perform sample selection with partial rotation over the survey cycle. A number of methods recommended in the literature are proposed here considering their suitability, cost effectiveness and ease of implementation in the context of agricultural surveys in developing countries.

A First Course in Order Statistics

A First Course in Order Statistics PDF Author: Barry C. Arnold
Publisher: SIAM
ISBN: 0898716489
Category : Mathematics
Languages : en
Pages : 291

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Book Description
This updated classic text will aid readers in understanding much of the current literature on order statistics: a flourishing field of study that is essential for any practising statistician and a vital part of the training for students in statistics. Written in a simple style that requires no advanced mathematical or statistical background, the book introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterisation results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. The authors have updated the text with suggestions for further reading that may be used for self-study. Written for advanced undergraduate and graduate students in statistics and mathematics, practising statisticians, engineers, climatologists, economists, and biologists.

Exponential Distribution

Exponential Distribution PDF Author: K. Balakrishnan
Publisher: Routledge
ISBN: 1351449125
Category : Mathematics
Languages : en
Pages : 664

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Book Description
The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon

Statistical Decision Theory

Statistical Decision Theory PDF Author: F. Liese
Publisher: Springer Science & Business Media
ISBN: 0387731946
Category : Mathematics
Languages : en
Pages : 696

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Book Description
For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.

Design of Experiments

Design of Experiments PDF Author: Santner
Publisher: CRC Press
ISBN: 9780824772741
Category : Technology & Engineering
Languages : en
Pages : 336

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Book Description
Multiple comparisons; Selection and ranking; Estimation and testing.

Analysis of Censored Data

Analysis of Censored Data PDF Author: Hira L. Koul
Publisher: IMS
ISBN: 9780940600393
Category : Censored observations (Statistics)
Languages : en
Pages : 310

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Book Description


Stochastic Orders and Applications

Stochastic Orders and Applications PDF Author: Karl Mosler
Publisher: Springer Science & Business Media
ISBN: 3642499724
Category : Mathematics
Languages : en
Pages : 385

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Book Description
A bibliography on stochastic orderings. Was there a real need for it? In a time of reference databases as the MathSci or the Science Citation Index or the Social Science Citation Index the answer seems to be negative. The reason we think that this bibliog raphy might be of some use stems from the frustration that we, as workers in the field, have often experienced by finding similar results being discovered and proved over and over in different journals of different disciplines with different levels of mathematical so phistication and accuracy and most of the times without cross references. Of course it would be very unfair to blame an economist, say, for not knowing a result in mathematical physics, or vice versa, especially when the problems and the languages are so far apart that it is often difficult to recognize the analogies even after further scrutiny. We hope that collecting the references on this topic, regardless of the area of application, will be of some help, at least to pinpoint the problem. We use the term stochastic ordering in a broad sense to denote any ordering relation on a space of probability measures. Questions that can be related to the idea of stochastic orderings are as old as probability itself. Think for instance of the problem of comparing two gambles in order to decide which one is more favorable.

Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Advances in Ranking and Selection, Multiple Comparisons, and Reliability PDF Author: N. Balakrishnan
Publisher: Springer Science & Business Media
ISBN: 0817644229
Category : Mathematics
Languages : en
Pages : 439

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Book Description
S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

Inductive Logic Programming

Inductive Logic Programming PDF Author: Stan Matwin
Publisher: Springer Science & Business Media
ISBN: 3540005676
Category : Computers
Languages : en
Pages : 361

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 12th International Conference on Inductive Logic Programming, ILP 2002, held in Sydney, Australia in July 2002. The 22 revised full papers presented were carefully selected during two rounds of reviewing and revision from 45 submissions. Among the topics addressed are first order decision lists, learning with description logics, bagging in ILP, kernel methods, concept learning, relational learners, description logic programs, Bayesian classifiers, knowledge discovery, data mining, logical sequences, theory learning, stochastic logic programs, machine discovery, and relational pattern discovery.