Posted by **tanas.olesya** at Sept. 27, 2016

English | 18 Feb. 2012 | ISBN: 012386979X | 1055 Pages | PDF | 203 MB

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Posted by **libr** at Dec. 12, 2015

English | 2011 | ISBN: 0521734444, 0521517710 | 224 pages | PDF | 3 MB

Posted by **interes** at May 26, 2014

English | 2009 | ISBN: 0470392401, 0470488409 | 283 pages | PDF | 1,6 MB

Transform challenges into opportunities with emerging Business Intelligence technologies

Written by an expert in data mining and statistical analysis, this valuable resource unveils the connection between the increased use of BI and the need for new, proven theories and models in BI, as well as the guidance to implement them successfully in your organization.

Posted by **interes** at Nov. 7, 2013

English | 2011 | ISBN: 0521734444, 0521517710 | 224 pages | PDF | 3 MB

This concise, self-contained, and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis.

Posted by **parvathareddyrs** at March 21, 2009

Sage Publications | 1997-02-24 | ISBN: 0761900837 | 104 pages | PDF | 1 mb

Author William G. Jacoby focuses on graphical displays that researchers can employ as an integral part of the data analysis process. Such visual depictions are frequently more revealing than traditional, numerical summary statistics. Accessibly written, this book contains chapters on univariate and bivariate methods. The former covers histograms, smoothed histograms, univariate scatterplots, quantile plots, box plots, and dot plots. The latter covers scatterplot construction guidelines, jittering for overplotted points, marginal box plots, scatterplot slicing, the Loess procedure for nonparametric scatterplot smoothing, and banking to 45 degrees for enhanced visual perception. This book provides strategies for examining data more effectively. The resultant insights help researchers avoid the problem of forcing an inaccurate model onto uncooperative data and guide analysts to model specifications that provide accurate representations of empirical information.

Posted by **AlenMiler** at Dec. 7, 2016

English | 25 Mar. 2016 | ISBN: 1491912057 | 300 Pages | AZW3/MOBI/PDF (conv) | 26.16 MB

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery.

Posted by **ksveta6** at Nov. 28, 2016

2016 | ISBN: 3319252240 | English | 656 pages | PDF | 16 MB

Posted by **Underaglassmoon** at Nov. 3, 2016

Springer | Statistics | November 25, 2016 | ISBN-10: 3319316397 | 332 pages | pdf | 4.64 mb

Editors: del Puerto, I.M., González, M.V., Gutiérrez, C., Martínez, R., Minuesa, C., Molina, M., Mota, M., Ramos, A. (Eds.)

Covers the most relevant and new models in branching processes theory, including both probabilistic and statistical developments

Describes the most recent applications of branching models in fields such as population dynamics, epidemiology, cell populations and genetics

Posted by **step778** at Oct. 26, 2016

2008 | pages: 268 | ISBN: 0415989612 | PDF | 13,6 mb

Posted by **arundhati** at Oct. 24, 2016

2014 | ISBN-10: 1569904871 | 736 pages | PDF | 48 MB