Probability and Statistics for Engineering and the Sciences

**Jay L. Devore, "Probability and Statistics for Engineering and the Sciences"**

Dux bury | 2011 | ISBN: 0538733527 | 687 pages | PDF | 11,4 MB

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.

GARCH Models: Structure, Statistical Inference and Financial Applications

**GARCH Models: Structure, Statistical Inference and Financial Applications**by Christian Francq, Jean-Michel Zakoian

Publisher: WILEY | 2010 | ISBN 0470683910 | PDF | 504 pages | 12 MB

This book pres a complete coverage to GARCH modeling, including probability properties, identifying an appropriate model, estimation and testing, multivariate extensions including EGARCH, TGARCH and APGARCH, volatility features such as asymmetries and financial applications.

Probability and Statistics for Finance

**Probability and Statistics for Finance**by Svetlozar T. Rachev, Markus Hoechstoetter, Frank J. Fabozzi CFA, Sergio M. Focardi

Wi ley | 2010 | ISBN: 0470400935 | 654 pages | mobi | 8 MB

In order to remain competitive in the intensely quantitative field of finance, you need a firm understanding of the foundations of finance: probability and statistics. Expert authors Svetlozar (Zari) Rachev, Markus Hochstotter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance for that reason.

Think Stats

**Think Stats**by Allen Downey

O’R,.illy Media | 2011 | ISBN: 1449307116 | 140 pages | PDF, epub, mobi |8,5 + 2,6 +5,6 MB

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

You’ll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you’ll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.

Microsoft Visual Basic 2010 for Windows Applications: Introductory

**Gary B. Shelly, Corinne Hoisington, "Microsoft Visual Basic 2010 for Windows Applications: Introductory"**

C..rse T,..logy | 2010 | ISBN: 0538468459 | 520 pages | PDF | 50,5 MB

Microsoft Visual Basic 2010 for Windows Applications: Introductory (Shelly Cashman Series), 1st Edition teaches students the essentials of computer programming using the latest Visual Basic programming language, Visual Basic 2010.

Using R for Introductory Statistics

**Using R for Introductory Statistics**

Chapman & Hall/CRC | 2004-11-29 | ISBN: 0203499891 | 432 pages | PDF | 14 MB

The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption.

Statistical Methods and Calculation Skills, 3rd edition

**Statistical Methods and Calculation Skills, 3rd edition**by Isabel Willemse

Juta Academic | 2009 | ISBN: 0702177539 | 280 pages | PDF | 9 MB

This third edition aims to equip students with the skills to apply statistical analysis and quantitative techniques in research and the working environment where their knowledge can lead to effective decision-making. The book effectively combines theory and practice in providing: a theoretical framework for statistical problem-solving; a practical step-by-step approach to applying methods and calculations; a complete list of outcomes in each unit; worked examples with detailed explanations; and, practice in the form of guided activities and a range of self-test questions.

R Cookbook

**R Cookbook**

Publisher: O'Reilly Media | March, 2011 | 436 pages | English | ISBN-10: 0596809158 | 12.5 MB

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master.

An Introduction to Statistical Methods and Data Analysis

**An Introduction to Statistical Methods and Data Analysis**By R. Lyman Ott, Micheal T. Longnecker

Publisher: Bro oks/Co le 2010 | 1296 Pages | ISBN: 0495017582 | PDF | 17 MB

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for readers who have little or no prior experience in statistics. The authors teach readers to solve problems encountered in research projects, to make decisions based on data in general settings, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in a college-level introductory statistics course, as well as interesting case studies and examples. The remaining chapters cover regression modeling and design of experiments.

Introductory Nuclear Physics

**Introductory Nuclear Physics**

Publisher: John Wiley and Sons Ltd | 1987-11-25 | ISBN: 0471859141 | Pages: 862 | PDF | 139 MB

This comprehensive text provides an introduction to basic nuclear physics, including nuclear decays and reactions and nuclear structure, while covering the essential areas of basic research and practical applications.