SAS Statistics by Example

SAS Statistics by Example

(9 reviews, 401 downloads)
, 2011-08-31, 274 pages, pdf, epub
In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques–for example, comparing two means, ANOVA, and regression–this book provides an easy-to-follow, how-to…
Better Business Decisions from Data

Better Business Decisions from Data

(1 reviews, 948 downloads)
, 2014-06-29, 288 pages, pdf, epub
Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you’re a trained statistician, it can be bewildering. What are the numbers really saying or…
Think Stats, 2nd Edition

Think Stats, 2nd Edition

(1 reviews, 1070 downloads)
, 2014-10-27, 226 pages, pdf, epub
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python….
Practical Methods of Financial Engineering and Risk Management

Practical Methods of Financial Engineering and Risk Management

(12 reviews, 603 downloads)
, 2014-08-21, 388 pages, pdf, epub
Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need…
Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R

(1 reviews, 613 downloads)
, 2014-05-23, 207 pages, pdf, epub
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s…