Spss-X Trends RL 4.0
The Significance Test Controversy Revisited (SpringerBriefs in Statistics)
by Bruno Lecoutre and Jacques Poitevineau
The purpose of this book is not only to revisit the “significance test controversy,”but also to provide a conceptually sounder alternative. As such, it presents a Bayesian framework for a new approach to analyzing and interpreting experimental data. It also prepares students and researchers for reporting on experimental results. Normative aspects: The main views of statistical tests are revisited and the philosophies of Fisher, Neyman-Pearson and Jeffrey are discussed in detail. Descriptive aspe...
This book constitutes the refereed proceedings of the 7th Workshop on New Frontiers in Quantitative Methods in Informatics, InfQ 2017, held in Venice, Italy, in December 2017. The 11 revised full papers and the one revised short paper presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on networking and mobile applications; applications of quantitative modeling; big data processing and IoT; theory, methods and tools for quantitative an...
Input Modeling with Phase-Type Distributions and Markov Models (SpringerBriefs in Mathematics)
by Peter Buchholz, Jan Kriege, and Iryna Felko
Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area. Due to progress made in recent years with respect to new algorithms to generate PH distributions and Markovian arrival processes from measured data, the models outlined are useful alternatives to other distributions or stochastic processes used for input modeling. Gra...
U-Statistics, Mm-Estimators and Resampling (Texts and Readings in Mathematics, #75)
by Arup Bose and Snigdhansu Chatterjee
This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
Elementary Mathematical and Computational Tools for Electrical and Computer Engineers Using MATLAB
by Jamal T Manassah
Engineers around the world depend on MATLAB for its power, usability, and outstanding graphics capabilities. Yet too often, engineering students are either left on their own to acquire the background they need to use MATLAB, or they must learn the program concurrently within an advanced course. Both of these options delay students from solving realistic design problems, especially when they do not have a text focused on applications relevant to their field and written at the appropriate level of...
Quick Start to Data Analysis with SAS
by Frank C. DiIorio and Kenneth Hardy
This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for research methods or statistics courses using the SAS System to manage and analyze data in departments of psychology, education, sociology, political science, public administration, statistics, other sciences, and engineering.
Gnu Octave Version 3.0.1 Manual
by John W Eaton, David Bateman, and Soren Hauberg
Getting Started with the Graph Template Language in SAS
by Sanjay Matange
Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Usi...
Mathematical Computational with Maple V: Ideas and Applications
This volume contains the proceedings for the second annual Maple Summer Workshop and Symposium (MSWS '93) held at the University of Michigan, Ann Arbor, on June 28-30, 1993. The goal of this international conference was to encourage innovative applications of the Maple V mathematical computation system. Papers were presented on a wide range of application areas by authors from many countries including USA, Canada, France, and Japan. The papers in this collection are organized into four subject a...
Multiple Factor Analysis by Example Using R (Chapman & Hall/CRC: The R)
by Jerome Pages
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial...