Statistical Treatment Of Experimental Data
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Statistical Treatment of Experimental Data
Author | : Hugh D. Young |
Publsiher | : Unknown |
Total Pages | : 196 |
Release | : 1996-08 |
Genre | : Mathematics |
ISBN | : UVA:X004340332 |
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Even with a limited mathematics background, readers can understand what statistical methods are & how they may be used to obtain the best possible results from experimental measurements & data.
Statistical Treatment of Experimental Data
![Statistical Treatment of Experimental Data](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Hugh David Young |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 1995 |
Genre | : Electronic Book |
ISBN | : 0070726469 |
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The Statistical Analysis of Experimental Data
Author | : John Mandel |
Publsiher | : Courier Corporation |
Total Pages | : 432 |
Release | : 2012-06-08 |
Genre | : Mathematics |
ISBN | : 9780486139593 |
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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.
Statistical Treatment of Experimental Data
Author | : John Robert Green,D. Margerison |
Publsiher | : Elsevier Science & Technology |
Total Pages | : 396 |
Release | : 1978 |
Genre | : Mathematics |
ISBN | : MINN:31951000479293T |
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Probability; Random variables and sampling distributions; Some important probability distributions; Estimation; Confidence intervals; Hypothesis testing; Tests on means; Tests on variance; Goodness of fit tests; Correlation; The straight line through the origin or through some other fixed point; The polynomial through the origin or through some other fixed pont; The general straight line; The general polynomial; A brief look at multiple regression.
Statistical Treatment of Experimental Data
![Statistical Treatment of Experimental Data](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : John Robert Green,Donald Margerison |
Publsiher | : Unknown |
Total Pages | : 382 |
Release | : 1978 |
Genre | : Electronic Book |
ISBN | : LCCN:78018263 |
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Statistical Treatment of Experimental Data
![Statistical Treatment of Experimental Data](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : John Robert Green,D. Margerison |
Publsiher | : Unknown |
Total Pages | : 382 |
Release | : 1978 |
Genre | : Mathematical statistics |
ISBN | : 0444416897 |
Download Statistical Treatment of Experimental Data Book in PDF, Epub and Kindle
Statistical Treatment of Experimental Data
![Statistical Treatment of Experimental Data](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : John Robert Green,Donald Margerison |
Publsiher | : Unknown |
Total Pages | : 382 |
Release | : 1978 |
Genre | : Electronic Book |
ISBN | : 0444416897 |
Download Statistical Treatment of Experimental Data Book in PDF, Epub and Kindle
Statistical Analysis of Designed Experiments
Author | : Ajit C. Tamhane |
Publsiher | : John Wiley & Sons |
Total Pages | : 720 |
Release | : 2012-09-12 |
Genre | : Science |
ISBN | : 9781118491430 |
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A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. MinitabĀ® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.