Mathematics, Computer Science and Logic - A Never Ending Story
This book presents four mathematical essays which explore the foundations of mathematics and related topics ranging from philosophy and logic to modern computer mathematics. While connected to the historical evolution of these concepts, the essays place strong emphasis on developments still to come. The book originated in a 2002 symposium celebrating the work of Bruno Buchberger, Professor of Computer Mathematics at Johannes Kepler University, Linz, Austria, on the occasion of his 60th birthda...
Applied Statistical Methods in Agriculture, Health and Life Sciences
by Bayo Lawal
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Sub...
Guide to Intelligent Data Analysis (Texts in Computer Science)
by Michael R Berthold, Christian Borgelt, and Frank H Ppner
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularit...
Building Web Applications with SAS/IntrNet (SAS Press)
by Don Henderson
A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets. Guidance is given on developing alternative descriptive statistical summaries for evaluation and providing policy analysis based on pool panel data. Various alternative models based on panel data are explored, including univariate general linear models, fixed effect models and causal m...
Base SAS 9.4 Procedures Guide: Statistical Procedures, Third Edition (SAS Documentation)
Quantitative Evaluation of Systems (Theoretical Computer Science and General Issues, #8657) (Lecture Notes in Computer Science, #8657)
This book constitutes the proceedings of the 11th International Conference on Quantitative Evaluation of Systems, QEST 2014, held in Florence, Italy, in September 2014. The 24 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 submissions. They are organized in topical sections named: Kronecker and product form methods; hybrid systems; mean field/population analysis; models and tools; simulation; queueing, debugging and tools; process algebra and...
PROC TABULATE by Example, Second Edition
by Lauren Haworth Lake and Julie McKnight
The Computers and Games (CG) series began in 1998 with the objective of showcasing new developments in arti?cial intelligence (AI) research that used games as the experimental test-bed. The ?rst two CG conferences were held at Hamamatsu,Japan(1998,2000).ComputersandGames2002(CG2002)wasthe third event in this biennial series. The conference was held at the University of Alberta(Edmonton,Alberta,Canada),July25-27,2002.Theprogramconsisted of the main conference featuring refereed papers and keynote...
This Element is an excerpt from Ubiquitous Computing for Business: Find New Markets, Create Better Businesses, and Reach Customers Around The World 24-7-365 (9780137064434) by Bo Begole. Available in print and digital formats. How a leading commercial printer is finding and delivering powerful new value through rich electronic media. Printing is a form of manufacturing, and with manufacturing being supplanted by electronic methods, Dai Nippon Printing (DNP) found it prudent to shift...
Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three "M's" Maple, Mathematica and Matlab. We intend to persuade that Maple and other like tools are worth knowing assuming only that one wishes to be a mathematician, a mathematics educa...
Minimum Divergence Methods in Statistical Machine Learning
by Shinto Eguchi and Osamu Komori
This book explores minimum divergence methods of statistical machine learning for estimation, regression, prediction, and so forth, in which we engage in information geometry to elucidate their intrinsic properties of the corresponding loss functions, learning algorithms, and statistical models. One of the most elementary examples is Gauss's least squares estimator in a linear regression model, in which the estimator is given by minimization of the sum of squares between a response vector a...
Bayesian Essentials with R
by Jean-Michel Marin and Christian Robert
Modeling Psychophysical Data in R (Use R!, #32)
by Kenneth Knoblauch and Laurence T. Maloney
Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods fo...
SPSS Statistics Workbook For Dummies
by Jesus Salcedo and Keith McCormick