Sequential Methods In Statistics 3rd Edition
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Sequential Methods In Statistics 3rd Edition
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Author : G.B. Wetherill
language : en
Publisher: Chapman and Hall/CRC
Release Date : 1986-07
Sequential Methods In Statistics 3rd Edition written by G.B. Wetherill and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-07 with Mathematics categories.
Work on sequential methods has recently developed considerably. This introductory text has been revised to include later developments and seeks to equip scientists with the knowledge and understanding of statistical methods used in the interpretation of quantitative data. As with the previous editions particular emphasis has been placed on methods which are of importance in practical applications.
Handbook Of Sampling Methods For Arthropods In Agriculture
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Author : Larry P. Pedigo
language : en
Publisher: CRC Press
Release Date : 2020-08-26
Handbook Of Sampling Methods For Arthropods In Agriculture written by Larry P. Pedigo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Science categories.
Handbook of Sampling Methods for Arthropods in Agriculture offers a comprehensive look at the principles and practicality of developing accurate sampling programs for arthropod pests and their arthropod enemies. The book examines developments in sampling populations and reviews sampling plans that produce accurate and affordable population estimates. The text stresses practicality, as well as the theoretical background of sampling. This book will be an indispensable reference for researchers, students, and practitioners in entomology and agriculture.
Statistical Advances In The Biomedical Sciences
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Author : Atanu Biswas
language : en
Publisher: John Wiley & Sons
Release Date : 2008-01-02
Statistical Advances In The Biomedical Sciences written by Atanu Biswas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-02 with Mathematics categories.
The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research. Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians.
Analysis Of Quantal Response Data
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Author : Byron J.T. Morgan
language : en
Publisher: CRC Press
Release Date : 2018-12-13
Analysis Of Quantal Response Data written by Byron J.T. Morgan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-13 with Mathematics categories.
This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements - facilities available in large computing packages like BMDP, SAS and SPSS are also described.
Acceptance Sampling In Quality Control Second Edition
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Author : Edward G. Schilling
language : en
Publisher: CRC Press
Release Date : 2009-03-02
Acceptance Sampling In Quality Control Second Edition written by Edward G. Schilling and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-02 with Business & Economics categories.
State-of-the-Art Coverage of the Most Widely Used Acceptance Sampling Techniques Cohesively Incorporates Theory and Practice Reflecting the recent resurgence of interest in this field, Acceptance Sampling in Quality Control, Second Edition presents the state of the art in the methodology of sampling and explores its advantages and limitations. The book also looks at how acceptance control can support applications of statistical process control and help in the evaluation of products. New to the Second Edition Coverage of ISO 2859 and 3951 standards and the ASTM version (E2234) of MIL-STD-105E A new section on credit-based sampling plans Greater emphasis on sampling schemes with switching rules More extensive discussion of accept zero plans, including tightened-normal-tightened (TNT), credit-based, the Nelson monograph for c=0, and MIL-STD-1916 Providing valuable guidelines for choosing appropriate procedures, this comprehensive second edition encompasses the most widely used acceptance sampling techniques. It lucidly provides a broad theoretical understanding of the field while offering all the information needed for the practical application of acceptance sampling plans in industry.
Common Statistical Methods For Clinical Research With Sas Examples Third Edition
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Author : Glenn A. Walker
language : en
Publisher: SAS Institute
Release Date : 2010-02-15
Common Statistical Methods For Clinical Research With Sas Examples Third Edition written by Glenn A. Walker and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-15 with Computers categories.
Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated edition of the popular introductory statistics book for clinical researchers. This new edition has been extensively updated to include the use of ODS graphics in numerous examples as well as a new emphasis on PROC MIXED. Straightforward and easy to use as either a text or a reference, the book is full of practical examples from clinical research to illustrate both statistical and SAS methodology. Each example is worked out completely, step by step, from the raw data. Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place. This book is part of the SAS Press program.
Current Index To Statistics Applications Methods And Theory
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Author :
language : en
Publisher:
Release Date : 1995
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 1995 with Mathematical statistics categories.
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Empirical Bayes Methods With Applications
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Author : J.S. Maritz
language : en
Publisher: Chapman and Hall/CRC
Release Date : 1989-06
Empirical Bayes Methods With Applications written by J.S. Maritz and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-06 with Mathematics categories.
Since the publication of the first edition of "Empirical Bayes methods" in 1970, there have been many contributions to the theory known as the empirical Bayes approach. This book collects and presents practical examples of the application of empirical Bayes ideas and techniques.
Stochastic Modelling For Systems Biology Third Edition
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Author : Darren J. Wilkinson
language : en
Publisher: CRC Press
Release Date : 2018-12-07
Stochastic Modelling For Systems Biology Third Edition written by Darren J. Wilkinson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Mathematics categories.
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.
Statistical Theory And Modelling
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Author : D.V. Hinkley
language : en
Publisher: Chapman and Hall/CRC
Release Date : 1991
Statistical Theory And Modelling written by D.V. Hinkley and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.
Statistical Theory and Modelling is a celebration of the work of Sir David Cox, FRS, and reflects his many interests in statistical theory and methods. It is a series of review articles, intended as an introduction to a variety of topics suitable for the graduate student and practicing statistician. Many of the topics are the subject of book-length treatments by Sir David and authors of this volume. Each chapter leads to a larger literature. Topics range the breadth of statistics and include modern degvelopments in statistical theory and methods. Special topics covered are generalized linear models, residuals and diagnostics, survival analysis, sequential analysis, time series, stochastic modelling of spatial data, design of experiments, likelihood inference and statistical approximation.