1994 Proceedings Of The Statistical Computing Section
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1994 Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section
language : en
Publisher:
Release Date : 1994
1994 Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematical statistics categories.
1994 Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section. Meeting
language : en
Publisher:
Release Date : 1994
1994 Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section. Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematical statistics categories.
Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section
language : en
Publisher:
Release Date : 1995
Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematical statistics categories.
1994 Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section
language : en
Publisher:
Release Date : 1994
1994 Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematical statistics categories.
American Statistical Association 1994 Proceedings Of The Section On Statistical Computing
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Author : American Statistical Association
language : en
Publisher:
Release Date : 1995-08
American Statistical Association 1994 Proceedings Of The Section On Statistical Computing written by American Statistical Association and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-08 with Statistics categories.
Index Of Conference Proceedings
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Author :
language : en
Publisher:
Release Date : 1996
Index Of Conference Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Conference proceedings categories.
Statistical Computing
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Author : William J. Kennedy
language : en
Publisher: Routledge
Release Date : 2021-06-23
Statistical Computing written by William J. Kennedy and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Computers categories.
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The text is highly readable and well illustrated with examples. The reader who intends to take a hand in designing his own regression and multivariate packages will find a storehouse of information and a valuable resource in the field of statistical computing.
Smoothing Methods In Statistics
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Author : Jeffrey S. Simonoff
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Smoothing Methods In Statistics written by Jeffrey S. Simonoff 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.
The existence of high speed, inexpensive computing has made it easy to look at data in ways that were once impossible. Where once a data analyst was forced to make restrictive assumptions before beginning, the power of the computer now allows great freedom in deciding where an analysis should go. One area that has benefited greatly from this new freedom is that of non parametric density, distribution, and regression function estimation, or what are generally called smoothing methods. Most people are familiar with some smoothing methods (such as the histogram) but are unlikely to know about more recent developments that could be useful to them. If a group of experts on statistical smoothing methods are put in a room, two things are likely to happen. First, they will agree that data analysts seriously underappreciate smoothing methods. Smoothing meth ods use computing power to give analysts the ability to highlight unusual structure very effectively, by taking advantage of people's abilities to draw conclusions from well-designed graphics. Data analysts should take advan tage of this, they will argue.
Mathematical Reviews
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Author :
language : en
Publisher:
Release Date : 1998
Mathematical Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
Numerical Issues In Statistical Computing For The Social Scientist
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Author : Micah Altman
language : en
Publisher: John Wiley & Sons
Release Date : 2004-02-15
Numerical Issues In Statistical Computing For The Social Scientist written by Micah Altman 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 2004-02-15 with Mathematics categories.
At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field. Highlights include: A focus on problems occurring in maximum likelihood estimation Integrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB®) A guide to choosing accurate statistical packages Discussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysis Emphasis on specific numerical problems, statistical procedures, and their applications in the field Replications and re-analysis of published social science research, using innovative numerical methods Key numerical estimation issues along with the means of avoiding common pitfalls A related Web site includes test data for use in demonstrating numerical problems, code for applying the original methods described in the book, and an online bibliography of Web resources for the statistical computation Designed as an independent research tool, a professional reference, or a classroom supplement, the book presents a well-thought-out treatment of a complex and multifaceted field.