Showing posts with label Statistics. Show all posts
Showing posts with label Statistics. Show all posts

Monday, September 21, 2015

Information Criteria and Statistical Modeling (Springer Series in Statistics) [Repost]




Information Criteria and Statistical Modeling (Springer Series in Statistics) by Genshiro Kitagawa


English | Oct. 12, 2007 | ISBN: 0387718869 | 276 Pages | PDF | 4.03 MB




Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.








Friday, September 11, 2015

Elementary Statistics A Step by Step Approach, 8th edition (repost)




Elementary Statistics A Step by Step Approach, 8th edition by Allan G. Bluman


English | 2011-01-06 | ISBN: 0073386103, 0077460391, 0071317031 | PDF | 896 pages | 45,3 MB




"Elementary Statistics: A Step By Step Approach" is for introductory statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, along with increased focus on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses. The 8th edition of Bluman provides a significant leap forward in terms of online course management with McGraw-Hill"s new homework platform, Connect Statistics – Hosted by ALEKS. Statistic instructors served as digital contributors to choose the problems that will be available, authoring each algorithm and providing stepped out solutions that go into great detail and are focused on areas where students commonly make mistakes. From there, the ALEKS Corporation reviewed each algorithm to ensure accuracy. The result is an online homework platform that provides superior content and feedback, allowing students to effectively learn the material being taught.