Download or read book Applications of Statistics to Industrial Experimentation written by Cuthbert Daniel and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Other volumes in the Wiley Series in Probability and MathematicalStatistics, Ralph A. Bradley, J. Stuart Hunter, David G. Kendall,& Geoffrey S. Watson, Advisory Editors Statistical Models inApplied Science Karl V. Bury Of direct interest to engineers andapplied scientists, this book presents general principles ofstatistics and specific distribution methods and models. Prominentdistribution properties and methods that are useful over a widerange of applications are covered in detail. The strengths andweaknesses of the distributional models are fully described, givingthe reader a firm, intuitive approach to the selection of the modelmost appropriate to the problem at hand. 1975 656 pp. FittingEquations To Data Computer Analysis of Multifactor Data forScientists and Engineers Cuthbert Daniel & Fred S. Wood Withthe assistance of John W. Gorman The purpose of this book is tohelp the serious data analyst, scientist, or engineer with acomputer to: recognize the strengths and limitations of his data;test the assumptions implicit in the least squares methods used tofit the data; select appropriate forms of the variables; judgewhich combinations of variables are most influential; and state theconditions under which the fitted equations are applicable.Throughout, mathematics is kept at the level of college algebra.1971 342 pp. Methods for Statistical Analysis of Reliability AndLife Data Nancy R. Mann, Ray E. Schafer & Nozer D. SingpurwallaThis book introduces failure models commonly used in reliabilityanalysis, and presents the most useful methods for analyzing thelife data of these models. Highlights include: material onaccelerated life testing; a comprehensive treatment of estimationand hypothesis testing; a critical survey of methods forsystem-reliability confidence bonds; and methods for simulation oflife data and for testing fit. 1974 564 pp.
Download or read book Statistical Analysis of Designed Experiments written by Ajit C. Tamhane and published by John Wiley & Sons. This book was released on 2012-09-12 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Minitab® 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.
Download or read book Understanding Industrial Experimentation written by Donald J. Wheeler and published by S P C Press. This book was released on 1988 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Design and Analysis of Industrial Experiments written by Ghosh and published by CRC Press. This book was released on 1990-05-25 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Design of Experiments for Engineers and Scientists written by Jiju Antony and published by Elsevier. This book was released on 2023-06-02 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic. Written in nonstatistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem-solving methodology New edition includes two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry
Download or read book Statistical Practice in Business and Industry written by Shirley Coleman and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.
Download or read book Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes written by Valter Silva and published by BoD – Books on Demand. This book was released on 2018-03-07 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimized operating conditions for complex systems can be attained by using advanced combinations of numerical and statistical methodologies. One of the most efficient and straightforward solutions relies on the application of statistical methods with an emphasis on the design of experiments (DoEs). Throughout the book, the design and analysis of experiments are conducted involving several approaches, namely, Taguchi, response surface methods, statistical correlations, or even fractional factorial and model-based evolutionary operation designs. This book not only presents a theoretical overview about the different approaches but also contains material that covers the use of the experimental analysis applied to several chemical processes. Some chapters highlight the use of software products to assist experimenters in both the design and analysis stages. It helps graduate students, teachers, researchers, and other professionals who are interested in chemical process optimization and also provides a good basis of theoretical knowledge and valuable insights into the technical details of these tools as well as explains common pitfalls to avoid. The world's leading pharmaceutical companies and local governments are trying to achieve their eradication.
Download or read book Statistical Case Studies for Industrial Process Improvement written by Veronica Czitrom and published by SIAM. This book was released on 1997-01-01 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: A selection of studies by professionals in the semiconductor industry illustrating the use of statistical methods to improve manufacturing processes.
Download or read book Statistical Design of Experiments with Engineering Applications written by Kamel Rekab and published by CRC Press. This book was released on 2005-04-08 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.
Download or read book Statistical Software Engineering written by National Research Council and published by National Academies Press. This book was released on 1996-03-15 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.
Download or read book Textile Engineering written by Anindya Ghosh and published by CRC Press. This book was released on 2021-12-22 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the importance of the application of statistical techniques, this book covers the design of experiments and stochastic modeling in textile engineering. Textile Engineering: Statistical Techniques, Design of Experiments and Stochastic Modeling focuses on the analysis and interpretation of textile data for improving the quality of textile processes and products using various statistical techniques. FEATURES Explores probability, random variables, probability distribution, estimation, significance test, ANOVA, acceptance sampling, control chart, regression and correlation, design of experiments and stochastic modeling pertaining to textiles Presents step-by-step mathematical derivations Includes MATLAB® codes for solving various numerical problems Consists of case studies, practical examples and homework problems in each chapter This book is aimed at graduate students, researchers and professionals in textile engineering, textile clothing, textile management and industrial engineering. This book is equally useful for learners and practitioners in other scientific and technological domains.
Download or read book Statistics in Industry written by Ravindra Khattree and published by Gulf Professional Publishing. This book was released on 2003-07-18 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an exposition of topics in industrial statistics. It serves as a reference for researchers in industrial statistics/industrial engineering and a source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are authored by leading researchers or practitioners in the particular specialized topic. Targeting the audiences of researchers in academia as well as practitioners and consultants in industry, the book provides comprehensive accounts of the relevant topics. In addition, whenever applicable ample data analytic illustrations are provided with the help of real world data.
Download or read book Statistics for Experimenters written by George E. P. Box and published by Wiley-Interscience. This book was released on 1978-07-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ``statistical thinking'' by using examples drawn from actual case studies.
Download or read book Statistical Methods for Testing Development and Manufacturing written by Forrest W. Breyfogle, III and published by John Wiley & Sons. This book was released on 1992-04-16 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clearly illustrates how established techniques can be easily understood and used with a sample size that is smaller than normally envisioned. Provides solutions to complex industrial problems by demonstrating how to define the problem and evaluate it statistically with the aim of accelerating product design testing that requires fewer samples and offers more information with less test effort. Along with examples, it contains detailed additional material presented in tabular form for both easy reference and cross-reference.
Download or read book Electrical Properties of Solid Insulating Materials written by and published by ASTM International. This book was released on 1987 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applications in Statistical Computing written by Nadja Bauer and published by Springer Nature. This book was released on 2019-10-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.
Download or read book Industrial Experimentation written by Kenneth Alexander Brownlee and published by . This book was released on 1949 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: FOREWORD - CONTENTS - PREFACE - CHAPTER I - INTRODUCTION - (a) Experimental Error - (b) Classical and Industrial Experimentation - (c) Replication - (d) Experimental Design: Randomised Blocks - (e) The Latin Square - (f) Balanced Incomplete Blocks - (g) Youden Squares - (h) Lattice Squares - (i) The Nature of "Blocks" - (g) Multiple Factor Experiments - (k) The Three Factor Experiment - (I) Higher Factorial Experiments - (m) Randomisation - CHAPTER II - FUNDAMENTAL STATISTICAL CONCEPTIONS - (a) Statistical Terminology - (b) Probability - (c) Populations: Tests of Significance - (d) Significance Levels (e) Computation - (f) Measures of Variability - (g) The Calculation of Variance (h) The Definition of Variance - (i) Distributions - (j) Grouped Frequency Distributions - (k) Log-normal Distributions - CHAPTER III - SIGNIFICANCE OF MEANS - (a) Significance of a Single Mean - (b) Confidence Limits for a Single Mean - (c) Comparison of Two Means - (d) Conclusions - CHAPTER IV - THE COMPARISON OF VARIANCES - (a) Comparison of Two Variances - (b) Averaging of Several Variances - (c) Comparison of Several Variances - (d) Confidence Limits for Variances - (i) Small Samples - (ii) Large Samples - THE X 2 TEST - (a) Introduction - (b) The 1 X 2 Table - (c) The Xl Table - (d) The 1 X n Table - (e) The 2 X 2 Table - (f) The 2 X n Table - CHAPTER V - (g) The n1 X na Table - (h) Restriction of Expected Cell Frequency to not less than 5 - CHAPTER VI - THE POISSON DISTRIBUTION - (a) Introduction - (b) Number of Incidents per Interval - (c) Distribution of Time Intervals - CHAPTER VII - THE ANALYSIS OF VARIANCE - (a) Introduction - (b) Analysis of Variance Between and Within Batches - (c) The Investigation of Multi-Stage Processes - (d) Analysis of Variance of Columns of Unequal Size - (e) Analysis of Variance into Components due to Rows, Columns and Residual - CHAPTER VIII - THE QUALITY CONTROL CHART - (a) Introduction - (b) Within Batch Variability: the Control Chart for Range - (c) The Control Chart for Ranges compared with Bartlett's Test - (d) Between Batch Variability: The Control Chart for Means - (e) The Conversion of Range to Standard Deviation - CHAPTER IX - THE RELATION BETWEEN TWO VARIABLES - (a) Introduction - (b) Transformations - (c) The Correlation Coefficient - (d) The Equation for the Regression Line - (e) The Residual Variance about the Regression Line - (f) The Use of the Analysis of Variance for Examining Regression - (g) Comparison of Regression Coefficients - (h) Exact Formula for the Residual Variance about the Regression Line - (i) The Use of the Analysis of Variance for Checking Linearity - (j) The Calculation of Correlation Coefficient, etc., from grouped Data - (k) Correlation and Causation - (I) Conclusions - MULTIPLE CORRELATION - (a) Introduction - (b). Two Independent Variables - (c) The Need for Multiple Regression and Partial Correlation - (d) Multiple Correlation with Three Independent Variables - (e) Conclusions - CHAPTER XI - THE GENERAL ANALYSIS OF VARIANCE - (a) Introduction - (b) Types of Analyses - (c) The Two Factor Analysis - (d) The Three Factor Analysis - (e) The Four Factor Analysis - (f) The Five Factor Analysis - (g) Incomplete Two-Factor Analysis: One Factor with Replication - (h) Incomplete Three-Factor Analysis: Two Factor with Replication - (i) Doubly Incomplete Three Factor Analysis: One Factor with - (j)Double Order Replication Incomplete Four Factor Analysis: Three Factors with Replication - (k) Doubly Incomplete Four Factor Analysis: Two Factors with Double Order Replication - (l) Trebly Incomplete Four Factor Analysis: One Factor with Triple Order Replication - (m) An Incomplete Five Factor Analysis - CHAPTER XII - MISCELLANEOUS ASPECTS OF THE ANALYSIS OF VARIANCE - (a) Introduction - (b) The Use of Components of Variance - (c) Partitioning a Sum of Squares into Linear, Quadratic, etc., Components - (d) The Assumption Underlying Factorial Design - (e) The Use of Interactions as Estimates of Error - (f) The Amount of Detail Required in Reports 132 - (g) The Theory of Chemical Sampling - (h) The Homogeneity of Data - (i) The Use of Logarithms in the Analysis of Variance - (j) Other Transformations in the Analysis of Variance - (k) Missing Values - (l) The Assumptions Underlying the Analysis of Variance - CHAPTER XIII - LATIN AND COMPLETELY ORTHOGONAL SQUARES - (a) Introduction - (b) Graeco-Latin and Completely Orthogonal Squares - (c) The Use of Latin Squares - (d) An Example of a Latin Square - CHAPTER XIV - BALANCED INCOMPLETE BLOCKS - (a) Introduction - (b) Computation - (c) Possible Designs - (d) Other Uses for Symmetrical Incomplete Blocks - (e) Youden Squares - CHAPTER XV - CONFOUNDING: THE PROBLEM OF RESTRICTED BLOCK SIZE IN FACTORIAL EXPERIMENTS - (a) The Algebraic Expressions for Factors - (b), Confounding with Three Factors - (c) Confounding with Four Factors - (d) Confounding with Five Factors - (e) Confounding with Six Factors - (f) Computation of the Results of a Confounded Experiment: an Example - (g) Confounding with Factors at Three Levels - (h) Confounding with Factors at Four Levels - (i) Double Confounding - CHAPTER XVI - THE FRACTIONAL REPLICATION OF FACTORIAL EXPERIMENTS - (a) The Need for Fractional Replication - (b) The Construction of Confounding Arrangements - (c) A Simple Half-Replicated Arrangement - (d) Practical Half-Replicate Arrangements - (e) Confounding in Fractionally Replicated Experiments - (f) Higher Fractional Replications - (g) Construction of the Designs - (h) An Example of a Half-Replicate Experiment - (i) Experiments with Some Factors at Four Levels - U) Subsequently Decreasing the Order of Fractionation - (k) The Relationship Between Confounding and Fractional Replication - CHAPTER XVII - GENERAL CONCLUSIONS - (a) Investigation of Multi-Variable Processes - (b) The Advantages of Planning Experiments - (c) Conclusions - APPENDIX - Table I Table of t - Table II Table of X2 - Table III Tables of Variance Ratio - Table IV Table of the Correlation Coefficient - Table V Factors for Control Charts - Table VI The Angular Transformation of Percentages to Degrees - Table VII Abbreviated Table of Probits - Table VIII Random Numbers - Bibliography - INDEX -
