Introduction to Experimental Statistics PDF Download
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Author: Ching Chun Li
Publisher:
ISBN:
Category : Biometry
Languages : en
Pages : 490
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Book Description
Author: Ching Chun Li
Publisher:
ISBN:
Category : Biometry
Languages : en
Pages : 490
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Book Description
Author: David Heath
Publisher: CRC Press
ISBN: 9780203499245
Category : Mathematics
Languages : en
Pages : 390
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Book Description
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w
Author: Geoffrey M. Clarke
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 232
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Book Description
Explains standard statistical methods in a non-mathematical manner. Describes how to use them, interpret the results, and how to illustrate reports with suitable graphics. Includes numerous, detailed worked examples and exercises.
Author: George E. P. Box
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 678
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Book Description
Introduces the philosophy of experimentation and the part that statistics plays in experimentation. Emphasizes the need to develop a capability for statistical thinking by using examples drawn from actual case studies.
Author: Oliver L. Lacey
Publisher:
ISBN:
Category : Experimental design
Languages : en
Pages : 272
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Book Description
Author: Walter Anton Hendricks
Publisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 260
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Book Description
Author: Peter J. Diggle
Publisher: Oxford University Press
ISBN: 0199543186
Category : Mathematics
Languages : en
Pages : 192
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Book Description
An antidote to technique-orientated approaches, this text avoids the recipe-book style, giving the reader a clear understanding of how core statistical ideas of experimental design, modelling, and data analysis are integral to the scientific method. No prior knowledge of statistics is required and a range of scientific disciplines are covered.
Author: George W. Cobb
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 836
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Book Description
An applied introduction to statistics for students with no background in the subject. The author places a strong emphasis on choosing sound design structures prior to a formal discussion of ANOVA, and then goes on to explore real data sets using a variety of graphs and numerical methods, before testing the assumptions behind standard ANOVA texts. Throughout the book, the author emphasises the contextual understanding and interpretation of data analysis rather than stressing formal deductive, mathematical reasoning, while the more difficult algebraic discussions are contained in optional sections.
Author: Klaus Hinkelmann
Publisher: John Wiley & Sons
ISBN: 9780471551782
Category : Mathematics
Languages : en
Pages : 528
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Book Description
Design and analysis of experiments/Hinkelmann.-v.1.
Author: Klaus Hinkelmann
Publisher: John Wiley & Sons
ISBN: 0470191740
Category : Mathematics
Languages : en
Pages : 640
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Book Description
This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions. This Second Edition continues to provide the theoretical basis of the principles of experimental design in conjunction with the statistical framework within which to apply the fundamental concepts. The difference between experimental studies and observational studies is addressed, along with a discussion of the various components of experimental design: the error-control design, the treatment design, and the observation design. A series of error-control designs are presented based on fundamental design principles, such as randomization, local control (blocking), the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. This book also emphasizes the practical aspects of designing and analyzing experiments and features: Increased coverage of the practical aspects of designing and analyzing experiments, complete with the steps needed to plan and construct an experiment A case study that explores the various types of interaction between both treatment and blocking factors, and numerical and graphical techniques are provided to analyze and interpret these interactions Discussion of the important distinctions between two types of blocking factors and their role in the process of drawing statistical inferences from an experiment A new chapter devoted entirely to repeated measures, highlighting its relationship to split-plot and split-block designs Numerical examples using SAS® to illustrate the analyses of data from various designs and to construct factorial designs that relate the results to the theoretical derivations Design and Analysis of Experiments, Volume 1, Second Edition is an ideal textbook for first-year graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, pharmacology, psychology, and business.
