Statistical Models in Engineering by Gerald J Hahn
A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.-
Enzyme Kinetics
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Introductory Functional Analysis with Applications
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Differential and Integral Calculus, Volume 1
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Introduction to Geometry
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Applied and Computational Complex Analysis, 3 Volume Set
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Geometric Algebra
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Survival Models and Data Analysis
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Applied and Computational Complex Analysis, Volume 2
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Integral Equations
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Applied and Computational Complex Analysis, Volume 1
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Lectures on Applications-Oriented Mathematics
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A Course in Modern Algebra
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An Introduction to Bayesian Inference in Econometrics
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Topics in Complex Function Theory, Volume 3
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Foundations of Differential Geometry, Volume 2
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Statistics and the Law
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The Elements of Stochastic Processes with Applications to the Natural Sciences
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Fitting Equations to Data
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Evolutionary Operation
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The Statistical Analysis of Time Series
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Combinatorial Theory
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Linear Operators, Part 1
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Statistical Design for Research
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Statistics
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Survival Analysis
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Mathematical Programming in Statistics
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Sample Survey Methods and Theory, Volume 2
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Sample Survey Methods and Theory, Volume 1
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Statistics for Spatial Data
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Water Waves
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Detection, Estimation, and Modulation Theory, Part II
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Linear Operators, Part 3
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Simple Groups of Lie Type
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Stochastic Processes
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Bayesian Inference in Statistical Analysis
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Statistical Optics
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Applied Statistical Decision Theory
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Applied and Computational Complex Analysis, Volume 3
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Planning of Experiments
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Modern Probability Theory and Its Applications
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Optimal Statistical Decisions
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Topics in Complex Function Theory, Volume 2
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Experimental Designs
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The Elements of Integration and Lebesgue Measure
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Understanding Robust and Exploratory Data Analysis
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Design and Analysis of Clinical Experiments
Gerald J. Hahn, PhD, worked at the GE Global Research Center for 46 years, where he managed its statistics group for 28 years and was elected a Coolidge Fellow, the organization's highest honor, in 1984. A Fellow of the American Statistical Association and American Society for Quality, Dr. Hahn is the author of numerous papers and the coauthor of Statistical Models in Engineering; Statistical Intervals: A Guide for Practitioners; and The Role of Statistics in Business and Industry, all published by Wiley. He has received many professional awards and served as adjunct professor at various universities.
William Q. Meeker, PhD, is a Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He is a Fellow of the American Statistical Association and the American Society for Quality and a past Editor of Technometrics. He is co-author of the books Statistical Methods for Reliability Data with Luis Escobar, and Statistical Intervals: A Guide for Practitioners with Gerald Hahn.
| SKU | Unavailable |
| ISBN 13 | 9780471040651 |
| ISBN 10 | 0471040657 |
| Title | Statistical Models in Engineering |
| Author | Gerald J Hahn |
| Series | Wiley Classics Library |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | John Wiley & Sons Inc |
| Year published | 1994-05-09 |
| Number of pages | 376 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |