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Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)
Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation.  The book explains basic statistical concepts with a simple yet rigorous language. 
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The Basics of S-PLUS (Statistics and Computing)
The Basics of S-PLUS (Statistics and Computing)

Proven bestseller: almost 6000 copies sold in the U.S. in two editions

New edition updated to cover S-PLUS 6.0

Can be used as an introduction to R, as well as S-PLUS

New exercises have been added; Includes a comparison of S-PLUS and R

Well-suited for self-study

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Mathematical Logic for Computer Science: Third Edition
Mathematical Logic for Computer Science: Third Edition
This book approaches mathematics based on the needs of computer science students, teaching logic by means of the method of semantic tableaux. The third edition is entirely rewritten, and includes new chapters on SAT solvers and model checking....
Proceedings of the 2012 International Conference of Modern Computer Science and Applications (Advances in Intelligent Systems and Computing)
Proceedings of the 2012 International Conference of Modern Computer Science and Applications (Advances in Intelligent Systems and Computing)
This volume contains the proceedings of the 2012 International Conference of Modern Computer Science and Applications (MCSA 2012) which was held on September 8, 2012 in Wuhan, China. The MCSA 2012 provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of modern computer science and...
Finite Element Modeling for Materials Engineers Using MATLAB®
Finite Element Modeling for Materials Engineers Using MATLAB®

The finite element method is often used for numerical computation in the applied sciences. It makes a major contribution to the range of numerical methods used in the simulation of systems and irregular domains, and its importance today has made it an important subject of study for all engineering students.
 
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Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand. In many algorithmically oriented areas of computer science, theanalysisof- gorithms–placedintothe limelightbyDonKnuth’stalkat the 1970ICM –provides a crystal-clear criterion for...
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R....

Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
Intended as a companion for textbooks in mathematical methods for science and engineering, this book presents a large number of numerical topics and exercises together with discussions of methods for solving such problems using Mathematica(R). Although it is primarily designed for use with the author's "Mathematical Methods: For...
Principles of Distributed Database Systems
Principles of Distributed Database Systems
This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced...
S Programming (Statistics and Computing)
S Programming (Statistics and Computing)

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It...

Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library)
Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library)

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more...

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

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...

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