STATISTICAL THEORY AND METHODOLOGY IN SCIENCE AND ENGINEERING PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download STATISTICAL THEORY AND METHODOLOGY IN SCIENCE AND ENGINEERING PDF full book. Access full book title STATISTICAL THEORY AND METHODOLOGY IN SCIENCE AND ENGINEERING by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: K. A. Brownlee
Publisher:
ISBN:
Category : Experimental design
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Reuven Y. Rubinstein
Publisher: John Wiley & Sons
ISBN: 0470317221
Category : Mathematics
Languages : en
Pages : 308
Get Book Here
Book Description
This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.
Author: Granino A. Korn
Publisher: Courier Corporation
ISBN: 0486320235
Category : Technology & Engineering
Languages : en
Pages : 1154
Get Book Here
Book Description
Convenient access to information from every area of mathematics: Fourier transforms, Z transforms, linear and nonlinear programming, calculus of variations, random-process theory, special functions, combinatorial analysis, game theory, much more.
Author: Byron W. Brown
Publisher: John Wiley & Sons
ISBN: 9780471112402
Category : Mathematics
Languages : en
Pages : 484
Get Book Here
Book Description
Elementary rules of probability; Populations, samples, and the distribution of the sample mean; Analysis of matched pairs using sample means; Analysis of the two-sample location problem using sample means; Surveys and experiments in medical research; Statistical inference for dichotomous variables; Comparing two success probabilities; Chi-squared tests; Analysis of k-sample problems; Linear regression and correlation; Analysis of matched pairs using ranks; Analysis of the two-sample location problem using ranks; Methods for censored data.
Author: Peter J. Huber
Publisher: John Wiley & Sons
ISBN: 0471725242
Category : Mathematics
Languages : en
Pages : 320
Get Book Here
Book Description
The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.
Author: United States. Environmental Protection Agency. Library Systems Branch
Publisher:
ISBN:
Category : Environmental protection
Languages : en
Pages : 748
Get Book Here
Book Description
Author: P. D. Lark
Publisher: Elsevier
ISBN: 1483146154
Category : Mathematics
Languages : en
Pages : 393
Get Book Here
Book Description
The Handling of Chemical Data deals with how measurements, such as those arrived at from chemical experimentation, are handled. The book discusses the different kinds of measurements and their specific dimensional characteristics by starting with the origin and presentation of chemical data. The text explains the units, fixed points, and relationships found between scales, the concept of dimensions, the presentation of quantitative data (whether in a tabular or graphical form), and some uses of empirical equations. The book also explains the relationship between two variables, and how equations such as fitting the least square lines can be applied. The text explains how the simple regression and the correlations models can be modified in three ways depending on the complexities present while studying experimental data. When data are reduced to equation form, ancillary operations — interpolation, integration, and differentiation — become useful for more precise presentation and understanding of the experimental data. The book notes the importance of smoothing or adjustment as a procedure to eliminate the effects of random error through application of the direct methods, difference methods, and the least squares method for equally space values. The text then addresses the dimensional analysis in physico-chemical problems and discusses the different dimensions (time, mass, force, energy, and temperature) that can affect systems. Researchers who are time-constrained or equipped with only fundamental training and knowledge of statistical analysis will find this book helpful. It can also be read by students of advanced mathematics and statistical analysis.
Author:
Publisher: ASTM International
ISBN:
Category :
Languages : en
Pages : 159
Get Book Here
Book Description
Author: Cuthbert Daniel
Publisher: John Wiley & Sons
ISBN: 0470317175
Category : Mathematics
Languages : en
Pages : 321
Get Book Here
Book Description
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.
