Learn IT - Books tags sciences

Probability and Algorithms

National Academy Press, 1992

Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the...

Modelling Metabolism with Mathematica

CRC Press, 2003

With the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and visualizing their responses has become accessible to students of biochemistry and the life sciences in general. Modelling Metabolism with Mathematica presents the approaches, methods, tools, and algorithms...

Analysis of Correlated Data with SAS and R

CRC Press, 2007

Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates...

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

Cambridge University Press, 2010

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book...

Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)

Springer, 2007

This title organizes computational probability methods into a systematic treatment. The book examines two categories of problems. "Algorithms for Continuous Random Variables" covers data structures and algorithms, transformations of random variables, and products of independent random variables. "Algorithms for...

How to Conduct Behavioral Research over the Internet: A Beginner's Guide to HTML and CGI/Perl (Methodology in the Social Sciences)

The Guilford Press, 2004

Requiring no prior knowledge of programming or web site design, this easy-to-follow, step-by-step guide helps professionals as well as students create interactive behavioral research instruments online. With this volume, anyone can learn to write programs in HTML and CGI/Perl that will enable them to take full advantage of all the...

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

Apress, 2019

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...

Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support (Springer Texts in Statistics)

Apress, 2011

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with.

The author integrates introductory statistics for engineers and introductory...

Applications of Data Mining in E-Business and Finance (Frontiers in Artificial Intelligence and Applications)

IOS Press, 2008

The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services.In...

Graphical Models with R (Use R!)

Springer, 2012

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modelling software programs have been written over the years. In recent years many of these software developments have...

Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (SpringerBriefs in Applied Sciences and Technology)

Springer, 2013

This book applies to the scientific area of electronic design automation (EDA) and addresses the automatic sizing of analog integrated circuits (ICs). Particularly, this book presents an approach to enhance a state-of-the-art layout-aware circuit-level optimizer (GENOM-POF), by embedding statistical knowledge from an automatically generated...

The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability)

SIAM, 2006

The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions within a MATLAB computational environment, affecting various structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed...

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