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Statistica Tm


Statistica Tm
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Statistica Tm


Statistica Tm
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Author : StatSoft
language : en
Publisher: Statsoft, Incorporated
Release Date : 1998-01-01

Statistica Tm written by StatSoft and has been published by Statsoft, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Statistics categories.


Comprehensive application capable of designing a wide range of neural network architectures, employing both widely used & highly specialized training algorithms. Can be used in a variety of applications, including regression modeling, classification & forecasting.



Statistica Tm


Statistica Tm
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Author : StatSoft, Inc. Staff
language : en
Publisher:
Release Date : 1995

Statistica Tm written by StatSoft, Inc. Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.




Statistica Tm


Statistica Tm
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Author : StatSoft (Firm)
language : en
Publisher: Statsoft, Incorporated
Release Date : 1995

Statistica Tm written by StatSoft (Firm) and has been published by Statsoft, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Statistica (computer programs) categories.




Statistica Tm


Statistica Tm
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Author : StatSoft, Inc. Staff
language : en
Publisher:
Release Date : 1995

Statistica Tm written by StatSoft, Inc. Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.




Statistica Tm


Statistica Tm
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Author : [Anonymus AC03295016]
language : en
Publisher:
Release Date : 1995

Statistica Tm written by [Anonymus AC03295016] and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Statistics categories.


Features full graphics capabilities & a commonly used subset of the statistics available in STATISTICA. Professional quality graphics & hundreds of 2-D & 3-D graph types. Statistical techniques included offer full-featured regression, ANOVA, nonparametrics & a comprehensive selection of basic statistics.



Statistica Sinica


Statistica Sinica
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Author :
language : en
Publisher:
Release Date : 2007

Statistica Sinica written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Electronic journals categories.




Byte


Byte
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Author :
language : en
Publisher:
Release Date : 1994-04

Byte written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-04 with Electronic journals categories.




Developing Statistical Software In Fortran 95


Developing Statistical Software In Fortran 95
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Author : David R. Lemmon
language : en
Publisher: Springer
Release Date : 2008-11-01

Developing Statistical Software In Fortran 95 written by David R. Lemmon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Computers categories.


Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Topics include how to: Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs) and Windows-based software components Develop graphical user interfaces (GUIs) Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing. From the reviews: "This book should be read by all statisticians, engineers, and scientists who want to implement an algorithm as a computer program. The book is the best introduction to programming that I have ever read. I value it as one of my important reference books in my personal library." Melvin J. Hinich for Techonmetrics, November 2006 "Overall, the book is well written and provides a reasonable introduction to the use of modern versions of Fortran for statistical computation. The real thrust of the book is building COM interfaces using Fortran, and it will no doubt be most useful to anyone who needs to build such interfaces." Journal of the American Statistical Association, June 2006 "The book is well written and is divided into chapters and sections which are coherent...Overall the book seems like a good resource for someone that already knows some dialect of FORTRAN and wants to learn a bit about what is new in FORTRAN 95..." Robert Gentleman for the Journal of Statistical Software, December 2006



Statistical Optics


Statistical Optics
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Author : Joseph W. Goodman
language : en
Publisher: John Wiley & Sons
Release Date : 2015-05-06

Statistical Optics written by Joseph W. Goodman 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 2015-05-06 with Science categories.


This book discusses statistical methods that are useful for treating problems in modern optics, and the application of these methods to solving a variety of such problems This book covers a variety of statistical problems in optics, including both theory and applications. The text covers the necessary background in statistics, statistical properties of light waves of various types, the theory of partial coherence and its applications, imaging with partially coherent light, atmospheric degradations of images, and noise limitations in the detection of light. New topics have been introduced in the second edition, including: Analysis of the Vander Pol oscillator model of laser light Coverage on coherence tomography and coherence multiplexing of fiber sensors An expansion of the chapter on imaging with partially coherent light, including several new examples An expanded section on speckle and its properties New sections on the cross-spectrum and bispectrum techniques for obtaining images free from atmospheric distortions A new section on imaging through atmospheric turbulence using coherent light The addition of the effects of “read noise” to the discussions of limitations encountered in detecting very weak optical signals A number of new problems and many new references have been added Statistical Optics, Second Edition is written for researchers and engineering students interested in optics, physicists and chemists, as well as graduate level courses in a University Engineering or Physics Department.



Statistical Theory And Inference


Statistical Theory And Inference
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Author : David J. Olive
language : en
Publisher: Springer
Release Date : 2014-05-07

Statistical Theory And Inference written by David J. Olive and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Mathematics categories.


This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma. A major goal of this text is to make these topics much more accessible to students by using the theory of exponential families. Exponential families, indicator functions and the support of the distribution are used throughout the text to simplify the theory. More than 50 ``brand name" distributions are used to illustrate the theory with many examples of exponential families, maximum likelihood estimators and uniformly minimum variance unbiased estimators. There are many homework problems with over 30 pages of solutions.