Lisp Stat

Author : Luke Tierney
Publisher : John Wiley & Sons
Page : 418 pages
File Size : 53,8 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317563

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LISP-STAT by Luke Tierney Pdf

Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the examples presented and use them as a basis for further experimentation and study.

Author : Rudolf Dutter,Wilfried Grossmann
Publisher : Physica
Page : 558 pages
File Size : 48,7 Mb
Release : 2013-12-20
Category : Business & Economics
ISBN : 9783642524639

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Compstat by Rudolf Dutter,Wilfried Grossmann Pdf

This book assembles papers which were presented at the biennial sympo sium in Computational Statistics held und er the a!uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna tional Statistical Institute. This symposium named COMPSTAT '94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT Symposia started 1974 in Vienna. Mean while they took place every other year in Berlin (Germany, 1976), Leiden (The Netherlands, 1978), Edinburgh (Great Britain, 1980), Toulouse (France, 1982), Prague (Czechoslovakia, 1984), Rom (Italy, 1986), Copenhagen (Den mark, 1988), Dubrovnik (Yugoslavia, 1990) and Neuchätel (Switzerland, 1992). This year we are celebrating the 20th anniversary in Vienna, Austria. It has obviously been observed a movement from "traditional" computa tional statistics with emphasis on methods which produce results quickly and reliably, to computationally intensive methods like resampling procedures, Bayesian methods, dynamic graphics, to very recent areas like neural net works, accentuation on spatial statistics, huge data sets, analysis strategies, etc. For the organization of the symposium, new guidelines worked out by the IASC in written form were in effect this time. The goal was to refresh somehow the spirit of the start of COMPSTAT '74, keep the tradition of the series and ensure a certain continuity in the sequence of biannual meetings.

Author : Yadolah Dodge,Joe Whittaker
Publisher : Springer Science & Business Media
Page : 565 pages
File Size : 45,9 Mb
Release : 2013-11-11
Category : Business & Economics
ISBN : 9783662268117

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Computational Statistics by Yadolah Dodge,Joe Whittaker Pdf

The Role of the Computer in Statistics David Cox Nuffield College, Oxford OXIINF, U.K. A classification of statistical problems via their computational demands hinges on four components (I) the amount and complexity of the data, (il) the specificity of the objectives of the analysis, (iii) the broad aspects of the approach to analysis, (ill) the conceptual, mathematical and numerical analytic complexity of the methods. Computational requi rements may be limiting in (I) and (ill), either through the need for special programming effort, or because of the difficulties of initial data management or because of the load of detailed analysis. The implications of modern computational developments for statistical work can be illustrated in the context of the study of specific probabilistic models, the development of general statistical theory, the design of investigations and the analysis of empirical data. While simulation is usually likely to be the most sensible way of investigating specific complex stochastic models, computerized algebra has an obvious role in the more analyti cal work. It seems likely that statistics and applied probability have made insufficient use of developments in numerical analysis associated more with classical applied mathematics, in particular in the solution of large systems of ordinary and partial differential equations, integral equations and integra-differential equations and for the ¢raction of "useful" in formation from integral transforms. Increasing emphasis on models incorporating specific subject-matter considerations is one route to bridging the gap between statistical ana.

Author : Sigbert Klinke
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642592423

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Data Structures for Computational Statistics by Sigbert Klinke Pdf

Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995).

Author : David Parker
Publisher : CRC Press
Page : 256 pages
File Size : 54,9 Mb
Release : 1996-04-09
Category : Technology & Engineering
ISBN : 0748404589

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Innovations In GIS by David Parker Pdf

Derived from presentations made at the third annual UK National Conference on GIS Research, this work consists of contributions by leading experts in: geography, mathematics, computing science, surveying, archaeology, planning and medicine.

Author : Forrest W. Young,Pedro M. Valero-Mora,Michael Friendly
Publisher : John Wiley & Sons
Page : 396 pages
File Size : 41,7 Mb
Release : 2011-09-15
Category : Mathematics
ISBN : 9781118165416

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Visual Statistics by Forrest W. Young,Pedro M. Valero-Mora,Michael Friendly Pdf

A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results. A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics. Visual Statistics addresses and features the following topics: * Why use dynamic graphics? * A history of statistical graphics * Visual statistics and the graphical user interface * Visual statistics and the scientific method * Character-based statistical interface objects * Graphics-based statistical interfaces * Visualization for exploring univariate data This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians. With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.

Author : G. Jogesh Babu,Eric D. Feigelson
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 53,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461219682

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Statistical Challenges in Modern Astronomy II by G. Jogesh Babu,Eric D. Feigelson Pdf

Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference brought astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses were all important themes. Many problems were introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitised sky surveys. As such, this volume will be of interest to researchers and advanced students in both fields - astronomers seeking exposure to recent developments in statistics, and statisticians interested in confronting new problems.

Author : Daniel Zwillinger,Stephen Kokoska
Publisher : CRC Press
Page : 576 pages
File Size : 43,8 Mb
Release : 1999-12-27
Category : Mathematics
ISBN : 1420050265

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CRC Standard Probability and Statistics Tables and Formulae by Daniel Zwillinger,Stephen Kokoska Pdf

Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that. Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you. It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.

Author : C. Radhakrishna Rao,Helge Toutenburg,Shalabh,Christian Heumann
Publisher : Springer Science & Business Media
Page : 583 pages
File Size : 45,7 Mb
Release : 2007-10-15
Category : Mathematics
ISBN : 9783540742272

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Linear Models and Generalizations by C. Radhakrishna Rao,Helge Toutenburg,Shalabh,Christian Heumann Pdf

Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights of coverage include sensitivity analysis and model selection, an analysis of incomplete data, an analysis of categorical data based on a unified presentation of generalized linear models, and an extensive appendix on matrix theory.

Author : Andre Heck,Fionn Murtagh
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 40,9 Mb
Release : 2007-08-20
Category : Science
ISBN : 9780585331102

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Intelligent Information Retrieval: The Case of Astronomy and Related Space Sciences by Andre Heck,Fionn Murtagh Pdf

Intelligent information Retrieval comprehensively surveys scientific information retrieval, which is characterized by growing convergence of information expressed in varying complementary forms of data - textual, numerical, image, and graphics; by the fundamental transformation which the scientific library is currently being subjected to; and by computer networking which as become an essential element of the research fabric. Intelligent Information Retrieval addresses enabling technologies, so-called `wide area network resource discovery tools', and the state of the art in astronomy and other sciences. This work is essential reading for astronomers, scientists in related disciplines, and all those involved in information storage and retrieval.

Author : W.N. Venables,B.D. Ripley
Publisher : Springer Science & Business Media
Page : 501 pages
File Size : 53,8 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9780387217062

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Modern Applied Statistics with S by W.N. Venables,B.D. Ripley Pdf

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Author : Peter Dirschedl (ed),Rüdiger Ostermann
Publisher : Physica
Page : 570 pages
File Size : 43,9 Mb
Release : 1994-11-25
Category : Business & Economics
ISBN : UOM:39015053931344

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Computational Statistics by Peter Dirschedl (ed),Rüdiger Ostermann Pdf

This book is a collection of thirty invited papers, covering the important parts of a rapidly developing area like "computational statistics". All contributions supply information about a specialized topic in a tutorial and comprehensive style. Newest results and developments are discussed. Starting with the foundations of computational statistics, i.e. numerical reliability of software packages or construction principles for pseudorandom number generators, the volume includes design considerations on statistical programming languages and the basic issues of resampling techniques. Also covered are areas like design of experiments, graphical techniques, modelling and testing problems, a review of clustering algorithms, and concise discussions of regression trees or cognitive aspects of authoring systems.

Author : Doug Fisher,Hans-J. Lenz
Publisher : Springer Science & Business Media
Page : 444 pages
File Size : 46,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461224044

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Learning from Data by Doug Fisher,Hans-J. Lenz Pdf

Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and Statistics. In the early days of the Workshop series it seemed clear that researchers in AI and statistics had common interests, though with different emphases, goals, and vocabularies. In learning and model selection, for example, a historical goal of AI to build autonomous agents probably contributed to a focus on parameter-free learning systems, which relied little on an external analyst's assumptions about the data. This seemed at odds with statistical strategy, which stemmed from a view that model selection methods were tools to augment, not replace, the abilities of a human analyst. Thus, statisticians have traditionally spent considerably more time exploiting prior information of the environment to model data and exploratory data analysis methods tailored to their assumptions. In statistics, special emphasis is placed on model checking, making extensive use of residual analysis, because all models are 'wrong', but some are better than others. It is increasingly recognized that AI researchers and/or AI programs can exploit the same kind of statistical strategies to good effect. Often AI researchers and statisticians emphasized different aspects of what in retrospect we might now regard as the same overriding tasks.

Author : Anonim
Publisher : Unknown
Page : 1002 pages
File Size : 40,7 Mb
Release : 1996
Category : Linux
ISBN : UOM:39015048322997

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Linux Journal by Anonim Pdf

Author : Dipak D. Dey,Peter MüIler,Debajyoti Sinha
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461217329

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Practical Nonparametric and Semiparametric Bayesian Statistics by Dipak D. Dey,Peter MüIler,Debajyoti Sinha Pdf

A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.