# The Leading eBooks Store Online

## for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry...

#### Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Wiley 2015; US$ 99.95Tailen Hsing Professor, Department of Statistics, University of Michigan, USA. Professor Hsing is a fellow of International Statistical Institute and of the Institute of Mathematical Statistics. He has published numerous papers on subjects ranging from bioinformatics to extreme value theory, functional data analysis, large sample theory and... more...

#### Multivariate Density Estimation

Wiley 2015; US$ 115.00David W. Scott, PhD, is Noah Harding Professor in the Department of Statistics at Rice University. The author of over 100 published articles, papers, and book chapters, Dr. Scott is also Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics. He is recipient of the ASA Founder’s Award and the Army... more...

#### Mastering R for Quantitative Finance

Packt Publishing 2015; US$ 39.99This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R. more...

#### Datenqualität erfolgreich steuern

dpunkt.verlag 2015; US$ 50.33Immer mehr Unternehmen begreifen ein gutes Datenqualitätsmanagement als einen entscheidenden Wettbewerbsvorteil: Die IT-Kosten sinken, Projekte werden beschleunigt, auf Änderungen am Markt oder von gesetzlichen Auflagen kann schneller und flexibler reagiert werden. Datenintegrationen über System-, Abteilungs- und Unternehmensgrenzen hinweg werden erleichtert... more...

#### Learning SciPy for Numerical and Scientific Computing

Packt Publishing 2015; US$ 17.99This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy. more...

#### Modeling and Analysis of Compositional Data

Wiley 2015; US$ 99.50Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies... more...

#### Topics in Algebra and Analysis

Springer International Publishing 2015; US$ 59.99The techniques presented here are useful for solving mathematical contest problems in algebra and analysis. Most of the examples and exercises that appear in the book originate from mathematical Olympiad competitions around the world. In the first four chapters the authors cover material for competitions at high school level. The level advances with... more...

#### Computation for the Analysis of Designed Experiments

Wiley 2015; US$ 261.00COMPARATIVE STUDIES AND DESIGNED EXPERIMENTS. Simple Designed Experiments. PROGRAMMING SYSTEMS. User-Level Considerations. Design of Individual Programs. Construction of Program Systems. LEAST SQUARES AND ANALYSIS OF VARIANCE. Projection and the Least Squares Method. Geometry of Hypothesis Testing. Algorithm Descriptions--Wilkinson's... more...

#### Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

Wiley 2015; US$ 145.00The focus of this book is on “ill-posed inverse problems”. These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of... more...

#### Mastering Scientific Computing with R

Packt Publishing 2015; US$ 29.99If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical... more...