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Nonlinear Principal Component Analysis and Its Applications
This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify …
- Edition
- 1
- ISBN/ISSN
- 978-981-10-0157-4
- Collation
- X, 80
- Series Title
- SpringerBriefs in Statistics
- Call Number
- -
An Introduction to Queueing Theory: Modeling and Analysis in Applications
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of stu…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-0-8176-8421-1
- Collation
- XIV, 339
- Series Title
- Statistics for Industry and Technology
- Call Number
- 519.2 BHA i
New Theory of Discriminant Analysis After R. Fisher
This is the first book to compare eight LDFs by different types of datasets, such as Fisher’s iris data, medical data with collinearities, Swiss banknote data that is a linearly separable data (LSD), student pass/fail determination using student attributes, 18 pass/fail determinations using exam scores, Japanese automobile data, and six microarray datasets (the datasets) that are LSD. We deve…
- Edition
- 1
- ISBN/ISSN
- 978-981-10-2164-0
- Collation
- XX, 208
- Series Title
- -
- Call Number
- -
mODa 11 - Advances in Model-Oriented Design and Analysis Proceedings of the …
This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, …
- Edition
- -
- ISBN/ISSN
- 978-3-319-31266-8
- Collation
- -
- Series Title
- -
- Call Number
- -
XI Symposium on Probability and Stochastic Processes CIMAT, Mexico, November…
This volume features a collection of contributed articles and lecture notes from the XI Symposium on Probability and Stochastic Processes, held at CIMAT Mexico in September 2013. Since the symposium was part of the activities organized in Mexico to celebrate the International Year of Statistics, the program included topics from the interface between statistics and stochastic processes.
- Edition
- -
- ISBN/ISSN
- 978-3-319-13984-5
- Collation
- -
- Series Title
- -
- Call Number
- -
Working with the American Community Survey in R A Guide to Using the acs Pac…
This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical programming language. The package defines a new "acs" class object (containing estimates, standard errors, a…
- Edition
- -
- ISBN/ISSN
- 978-3-319-45772-7
- Collation
- -
- Series Title
- -
- Call Number
- -
New Developments in Statistical Modeling, Inference and Application:Selected …
The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model check…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-42570-2
- Collation
- XIV, 214
- Series Title
- ICSA Book Series in Statistics
- Call Number
- -
Meta-Analytic Structural Equation Modelling
This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. B…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-27172-9
- Collation
- VIII, 88
- Series Title
- SpringerBriefs in Research Synthesis and Meta-Analysis
- Call Number
- -
Vector Generalized Linear and Additive Models With an Implementation in R
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be …
- Edition
- -
- ISBN/ISSN
- 978-1-4939-2818-7
- Collation
- XXIV, 589
- Series Title
- -
- Call Number
- -
Advances in Statistical Models for Data Analysis
This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were f…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-17377-1
- Collation
- VIII, 268
- Series Title
- Studies in Classification, Data Analysis, and Knowledge Organization
- Call Number
- 519.5 ADV a
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