Techniques Statistiques
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Large Sample Techniques For Statistics
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Author : Jiming Jiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-30
Large Sample Techniques For Statistics written by Jiming Jiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Mathematics categories.
In a way, the world is made up of approximations, and surely there is no exception in the world of statistics. In fact, approximations, especially large sample approximations, are very important parts of both theoretical and - plied statistics.TheGaussiandistribution,alsoknownasthe normaldistri- tion,is merelyonesuchexample,dueto thewell-knowncentrallimittheorem. Large-sample techniques provide solutions to many practical problems; they simplify our solutions to di?cult, sometimes intractable problems; they j- tify our solutions; and they guide us to directions of improvements. On the other hand, just because large-sample approximations are used everywhere, and every day, it does not guarantee that they are used properly, and, when the techniques are misused, there may be serious consequences. 2 Example 1 (Asymptotic? distribution). Likelihood ratio test (LRT) is one of the fundamental techniques in statistics. It is well known that, in the 2 “standard” situation, the asymptotic null distribution of the LRT is?,with the degreesoffreedomequaltothe di?erencebetweenthedimensions,de?ned as the numbers of free parameters, of the two nested models being compared (e.g., Rice 1995, pp. 310). This might lead to a wrong impression that the 2 asymptotic (null) distribution of the LRT is always? . A similar mistake 2 might take place when dealing with Pearson’s? -test—the asymptotic distri- 2 2 bution of Pearson’s? -test is not always? (e.g., Moore 1978).
Statistical Techniques For Data Analysis
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Author : John K. Taylor
language : en
Publisher: CRC Press
Release Date : 2004-01-14
Statistical Techniques For Data Analysis written by John K. Taylor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-14 with Mathematics categories.
Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze stat
Applied Statistics
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Author : Lothar Sachs
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Applied Statistics written by Lothar Sachs and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
An English translation now joins the Russian and Spanish versions. It is based on the newly revised fifth edition of the German version of the book. The original edition has become very popular as a learning and reference source with easy to follow recipes and cross references for scientists in fields such as engineering, chemistry and the life sciences. Little mathematical background is required of the reader and some important topics, like the logarithm, are dealt with in the preliminaries preceding chapter one. The usefulness of the book as a reference is enhanced by a number of convenient tables and by references to other tables and methods, both in the text and in the bibliography. The English edition contains more material than the German original. I am most grateful to all who have in conversations, letters or reviews suggested improvements in or criticized earlier editions. Comments and suggestions will continue to be welcome. We are especially grateful to Mrs. Dorothy Aeppli of St. Paul, Minnesota, for providing numerous valuable comments during the preparation of the English manuscript. The author and the translator are responsible for any remaining faults and imperfections. I welcome any suggestions for improvement. My greatest personal gratitude goes to the translator, Mr. Zenon Reynaro wych, whose skills have done much to clarify the text, and to Springer-Verlag.
Statistical Techniques For Project Control
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Author : Adedeji B. Badiru
language : en
Publisher: CRC Press
Release Date : 2012-01-18
Statistical Techniques For Project Control written by Adedeji B. Badiru and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-18 with Business & Economics categories.
Winner of the IIE Book of the Month for June 2012A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. Statistical Techniques for Project Control seamlessly integrate
Statistical Techniques For Data Analysis Second Edition
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Author : John K. Taylor
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2004-01-14
Statistical Techniques For Data Analysis Second Edition written by John K. Taylor and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-14 with Mathematics categories.
Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the techniques and technology they need to analyze statistical data. All they need is practical guidance on how to use them. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides straightforward discussion of basic statistical techniques and computer analysis. The purpose, structure, and general principles of the book remain the same as the first edition, but the treatment now includes updates in every chapter, additional topics, and most importantly, an introduction to use of the MINITAB Statistical Software. The presentation of each technique includes motivation and discussion of the statistical analysis, a hand-calculated example, the same example calculated using MINITAB, and discussion of the MINITAB output and conclusions. Highlights of the Second Edition: " Detailed discussion and use of MINITAB in examples complete with code and output " A new chapter addressing proportions, time to event data, and time series data in the metrology setting " Additional material on hypothesis testing " Discussion of critical values " A look at mistakes commonly made in data analysis
Statistical Techniques In Simulation
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Author : Jack P. C. Kleijnen
language : en
Publisher:
Release Date : 1974
Statistical Techniques In Simulation written by Jack P. C. Kleijnen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Mathematics categories.
Fundamentals of simulation; The statistical aspects of simulation; Variance reduction techniques; The design and analysis of experiments; Sample size and reliability; Monte Carlo experimentation with bechhofer and blumenthal's multiple ranking procedures: a case study.
Multilevel Analysis
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Author : J. J. Hox
language : en
Publisher: Psychology Press
Release Date : 2002
Multilevel Analysis written by J. J. Hox and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Psychology categories.
This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model and a model for multilevel covariance structures.
A Handbook Of Numerical And Statistical Techniques
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Author : J. H. Pollard
language : en
Publisher: CUP Archive
Release Date : 1977
A Handbook Of Numerical And Statistical Techniques written by J. H. Pollard and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.
This handbook is designed for experimental scientists, particularly those in the life sciences. It is for the non-specialist, and although it assumes only a little knowledge of statistics and mathematics, those with a deeper understanding will also find it useful. The book is directed at the scientist who wishes to solve his numerical and statistical problems on a programmable calculator, mini-computer or interactive terminal. The volume is also useful for the user of full-scale computer systems in that it describes how the large computer solves numerical and statistical problems. The book is divided into three parts. Part I deals with numerical techniques and Part II with statistical techniques. Part III is devoted to the method of least squares which can be regarded as both a statistical and numerical method. The handbook shows clearly how each calculation is performed. Each technique is illustrated by at least one example and there are worked examples and exercises throughout the volume.
Statistical And Machine Learning Data Mining
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Author : Bruce Ratner
language : en
Publisher: CRC Press
Release Date : 2011-12-19
Statistical And Machine Learning Data Mining written by Bruce Ratner and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-19 with Business & Economics categories.
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has completely revised, reorganized, and repositioned the original chapters and produced 14 new chapters of creative and useful machine-learning data mining techniques. In sum, the 31 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. The statistical data mining methods effectively consider big data for identifying structures (variables) with the appropriate predictive power in order to yield reliable and robust large-scale statistical models and analyses. In contrast, the author's own GenIQ Model provides machine-learning solutions to common and virtually unapproachable statistical problems. GenIQ makes this possible — its utilitarian data mining features start where statistical data mining stops. This book contains essays offering detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. They address each methodology and assign its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
Statistical Survey Techniques
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Author : Raymond James Jessen
language : en
Publisher: John Wiley & Sons
Release Date : 1978
Statistical Survey Techniques written by Raymond James Jessen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Mathematics categories.
Here is a comprehensive and balanced coverage of how to design surveys and how to analyze their data. In addition, a chapter on data quality describes nonsampling as well as practical aspects of designing surveys (frame construction, etc.).