Filter by
The Strategic Use of International Law by the United Nations Security Council…
The book offers insights on whether international law can shape the politics of the Security Council and conversely, the extent to which the latter contribute to the development of international law. By providing a systematic analysis of the quantity and quality of international legal instruments referred to in the text of resolutions, the book reconstructs patterns of the Security Council’s …
- Edition
- -
- ISBN/ISSN
- 978-3-319-21281-4
- Collation
- -
- Series Title
- -
- Call Number
- -
Mathematics of Economics and Business
For all students who wish to understand current economic and business literature, knowledge of mathematical methods has become a prerequisite. Clear and concise, with precise definitions and theorems, Werner and Sotskov cover all the major topics required to gain a firm grounding in this subject including sequences, series, applications in finance, functions, differentiations, differentials an…
- Edition
- -
- ISBN/ISSN
- 9780203401385
- Collation
- -
- Series Title
- -
- Call Number
- -
Nonparametric Statistics
This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Stat…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-41581-9
- Collation
- XI, 224
- Series Title
- Springer Proceedings in Mathematics & Statistics
- Call Number
- -
Nonparametric Bayesian Inference in Biostatistics
As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-19517-9
- Collation
- XVII, 448
- Series Title
- Frontiers in Probability and the Statistical Sciences
- Call Number
- -
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
- -
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography