Author : Aloke Dey
Publisher : World Scientific
Page : 291 pages
File Size : 50,63 MB
Release : 2010
Category : Mathematics
ISBN : 9814322687
Presents an account of the theory and applications of incomplete block designs. This title considers various major aspects of incomplete block designs by consolidating material from the literature - the classical incomplete block designs, like the balanced incomplete block (BIB) and partially balanced incomplete block (PBIB) designs.
Author : Peter William Meredith John
Publisher :
Page : 118 pages
File Size : 14,15 MB
Release : 1980
Category : Mathematics
ISBN :
Author : Helge Toutenburg
Publisher : Springer Science & Business Media
Page : 507 pages
File Size : 12,6 MB
Release : 2006-05-09
Category : Mathematics
ISBN : 0387227725
Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.
Author : Susan C. Weller
Publisher : SAGE Publications
Page : 108 pages
File Size : 40,94 MB
Release : 1988-02-01
Category : Social Science
ISBN : 1452213917
Data collection in the field, whether by interviewing or other methods, can be carried out in a structured, systematic and scientific way. This volume compels field researchers to take very seriously not only what they hear, but what they ask. Ethnographers have often discovered too late that the value of their interview information is discounted as a consequence of poor sampling (of both questions and informants) and poor elicitation techniques. The authors focus on the importance of establishing the right questions to ask through the use of free listing techniques; then they describe in practical terms the administration of an impressive array of alternative kinds of informant task. They conclude with a discussion of reliability and validity of various methods which can be used to generate more systematic, culturally meaningful data.
Author : R. A. Bailey
Publisher : Cambridge University Press
Page : 345 pages
File Size : 49,61 MB
Release : 2008-04-17
Category : Mathematics
ISBN : 1139469916
This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.
Author : Damaraju Raghavarao
Publisher : World Scientific
Page : 224 pages
File Size : 29,70 MB
Release : 2005
Category : Mathematics
ISBN : 9812563601
Combinatorial mathematicians and statisticians have made a wide range of contributions to the development of block designs, and this book brings together much of that work. The designs developed for a specific problem are used in a variety of different settings. Applications include controlled sampling, randomized response, validation and valuation studies, intercropping experiments, brand cross-effect designs, lotto and tournaments.The intra- and inter- block, nonparametric and covariance analysis are discussed for general block designs, and the concepts of connectedness, orthogonality, and all types of balances in designs are carefully summarized. Readers are also introduced to the designs currently playing a prominent role in the field: alpha designs, trend-free designs, balanced treatment-control designs, nearest neighbor designs, and nested designs.This book provides the important background results required by researchers in block designs and related areas and prepares them for more complex research on the subject.
Author : Dieter Rasch
Publisher : CRC Press
Page : 345 pages
File Size : 31,51 MB
Release : 2011-05-18
Category : Mathematics
ISBN : 1439816980
Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experi
Author : Bayo Lawal
Publisher : Springer
Page : 816 pages
File Size : 49,25 MB
Release : 2014-09-15
Category : Medical
ISBN : 3319055550
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
Author : Kung-Jong Lui
Publisher : John Wiley & Sons
Page : 248 pages
File Size : 23,48 MB
Release : 2016-08-08
Category : Medical
ISBN : 1119114705
A comprehensive and practical resource for analyses of crossover designs For ethical reasons, it is vital to keep the number of patients in a clinical trial as low as possible. As evidenced by extensive research publications, crossover design can be a useful and powerful tool to reduce the number of patients needed for a parallel group design in studying treatments for non-curable chronic diseases. This book introduces commonly-used and well-established statistical tests and estimators in epidemiology that can easily be applied to hypothesis testing and estimation of the relative treatment effect for various types of data scale in crossover designs. Models with distribution-free random effects are assumed and hence most approaches considered here are semi-parametric. The book provides clinicians and biostatisticians with the exact test procedures and exact interval estimators, which are applicable even when the number of patients in a crossover trial is small. Systematic discussion on sample size determination is also included, which will be a valuable resource for researchers involved in crossover trial design. Key features: Provides exact test procedures and interval estimators, which are especially of use in small-sample cases. Presents most test procedures and interval estimators in closed-forms, enabling readers to calculate them by use of a pocket calculator or commonly-used statistical packages. Each chapter is self-contained, allowing the book to be used a reference resource. Uses real-life examples to illustrate the practical use of test procedures and estimators Provides extensive exercises to help readers appreciate the underlying theory, learn other relevant test procedures and understand how to calculate the required sample size. Crossover Designs: Testing, Estimation and Sample Size will be a useful resource for researchers from biostatistics, as well as pharmaceutical and clinical sciences. It can also be used as a textbook or reference for graduate students studying clinical experiments.
Author : Valentim R. Alferes
Publisher : SAGE
Page : 209 pages
File Size : 17,82 MB
Release : 2012-10
Category : Psychology
ISBN : 1452202923
This text provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs.
