Experimental Statistics
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Author | : Mary Gibbons Natrella |
Publisher | : Courier Corporation |
Total Pages | : 562 |
Release | : 2013-03-13 |
Genre | : Mathematics |
ISBN | : 0486154556 |
A handbook for those seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Covers the planning of experiments, the analyzing of extreme-value data; and more. 1966 edition. Index. Includes 52 figures and 76 tables.
Author | : Clive R. Ireland |
Publisher | : CABI |
Total Pages | : 376 |
Release | : 2010 |
Genre | : Education |
ISBN | : 1845935373 |
Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principles of investigation by experiment and the role of statistics in analysis. It draws on the author's extensive teaching experience and is illustrated with fully worked, contextualized examples throughout, helping readers to correctly design their own experiments and identify the most appropriate technique for analysis. Subjects include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as Microsoft Excel spreadsheet software and GenStat, and more complex experimental designs, such as randomized blocks and split plots. This book is an essential text for students of agriculture, horticulture and related disciplines
Author | : Michael H. Herzog |
Publisher | : Springer |
Total Pages | : 146 |
Release | : 2019-08-13 |
Genre | : Science |
ISBN | : 3030034992 |
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Author | : Richard A. Chechile |
Publisher | : MIT Press |
Total Pages | : 473 |
Release | : 2020-09-08 |
Genre | : Mathematics |
ISBN | : 0262360705 |
An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis. This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics.
Author | : Byron P. Roe |
Publisher | : Springer Science & Business Media |
Total Pages | : 219 |
Release | : 2013-03-09 |
Genre | : Science |
ISBN | : 1475721862 |
A practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced undergraduates. Intended as a practical guide, and not as a comprehensive text, the emphasis is on applications and understanding, on theorems and techniques that are actually used in experimental physics. Proofs of theorems are generally omitted unless they contribute to the intuition in understanding and applying the theorem. The problems, many with worked solutions, introduce the student to the use of computers; occasional reference is made to some of the Fortran routines available in the CERN library, but other systems, such as Maple, will also be useful.
Author | : John Mandel |
Publisher | : Courier Corporation |
Total Pages | : 434 |
Release | : 2012-06-08 |
Genre | : Mathematics |
ISBN | : 048613959X |
First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.
Author | : Irwin P. Levin |
Publisher | : SAGE |
Total Pages | : 108 |
Release | : 1999-02 |
Genre | : Medical |
ISBN | : 9780761914723 |
This handy guide gives the novice researcher a clear description of the standard tools of the trade. Unlike some texts which focus on either design or statistics, this book covers the fundamentals of design, together with experiments and observational methods. There is an exposition of major tests of significance with formulas plus easy verbal interpretations, and "boxes" embedded in the text contain prototypic applications.
Author | : David Heath |
Publisher | : CRC Press |
Total Pages | : 390 |
Release | : 1995-10-26 |
Genre | : Mathematics |
ISBN | : 9780203499245 |
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 | : Steve Miller |
Publisher | : Routledge |
Total Pages | : 158 |
Release | : 2005-07-25 |
Genre | : Psychology |
ISBN | : 1134954638 |
For this second edition, this best-selling textbook has been revised, the coverage of two-sample tests extended, and new sections added introducing one-sample tests, linear regression, and the product-moment correlation coefficient.
Author | : Alan G. Clewer |
Publisher | : John Wiley & Sons |
Total Pages | : 315 |
Release | : 2013-06-17 |
Genre | : Science |
ISBN | : 1118685660 |
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.