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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
- -
Dependent Data in Social Sciences Research Forms, Issues, and Methods of Anal…
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long …
- Edition
- -
- ISBN/ISSN
- 9783319205854
- Collation
- -
- Series Title
- -
- Call Number
- 519.2
Analysis of Large and Complex Data
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-25226-1
- Collation
- XXVI, 656
- Series Title
- Studies in Classification, Data Analysis, and Knowledge Organization
- Call Number
- 519.5 ANA a
An Introduction to Statistics with Python: With Applications in the Life Scie…
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can …
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-28316-6
- Collation
- XVII, 278
- Series Title
- Statistics and Computing
- Call Number
- 519.5 HAS i
An Introduction to R for Quantitative Economics: Graphing, Simulating and Com…
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such a…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-81-322-2340-5
- Collation
- XV, 109
- Series Title
- SpringerBriefs in Economics
- Call Number
- 006.3 DAY i
Optimization of Pharmaceutical R&D Programs and Portfolios Design and Invest…
Very little has been published on optimization of pharmaceutical portfolios. Moreover, most of published literature is coming from the commercial side, where probability of technical success (PoS) is treated as fixed, and not as a consequence of development strategy or design. In this book there is a strong focus on impact of study design on PoS and ultimately on the value of portfolio. Design …
- Edition
- -
- ISBN/ISSN
- 978-3-319-09075-7
- Collation
- -
- Series Title
- -
- Call Number
- -
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
- -
New Ecoinformatics Tools in Environmental Science:Applications and Decision-m…
This book provides new insights on the study of global environmental changes using the ecoinformatics tools and the adaptive-evolutionary technology of geoinformation monitoring. The main advantage of this book is that it gathers and presents extensive interdisciplinary expertise in the parameterization of global biogeochemical cycles and other environmental processes in the context of globaliz…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-13977-7
- Collation
- XXXIII, 903
- Series Title
- Environmental Earth Sciences
- 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
- -
ggplot2 Elegant Graphics for Data Analysis
This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification super…
- Edition
- -
- ISBN/ISSN
- 978-3-319-24277-4
- Collation
- -
- Series Title
- -
- Call Number
- -
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