教你快速学会SPSS。SPSS（Statistical Product and Service Solutions），“统计产品与服务解决方案”软件。最初软件全称为“社会科学统计软件包”（SolutionsStatistical Package for the Social Sciences），但是随着SPSS产品服务领域的扩大和服务深度的增加，SPSS公司已于2000年正式将英文全称更改为“统计产品与服务解决方案”，标志着SPSS的战略方向正在做出重大调整。
If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use di
The spider svm is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical
Symmetric cryptography, light-weight cryptography, statistical attacks, RC4 crypt- V analysis, WEP and WPA, block and stream ciphers, algebraic cryptanalysis, systems of sparse polynomial equations of low degree, challenge-response protocols, ElimLi
对MCMC实现MIMOIn this paper, we develop novel Bayesian detection methods that are applicable to both synchronous code-division multiple-access and multiple-input multiple-output communication systems. Markov chain Monte Carlo (MCMC) simulation techniqu
R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishme
spss数据库，好用！Statistical Package for Social Science（社会科学统计程序包，1968年）到Statistical Product and Service Solutions（统计产品与服务解决方案，从SPSS11.0，简称SPSS），再到2008年的Predictive Analytics Software简称PASW，预测分析软件，含四部分，其中的 PASW Statistics就是原来的SPSS），再到2010年的IBM SPSS Statist
spss19视频教程及数据集。IBM SPSS Statistics 19，从SPSS名称的演变，Statistical Package for Social Science（社会科学统计程序包，1968年）到Statistical Product and Service Solutions（统计产品与服务解决方案，从SPSS11.0，简称SPSS），再到2008年的Predictive Analytics Software简称PASW，预测分析软件，含四部分，其中的 PASW Statist
HaarTraining算法总体上以Friedman, J. H等人的“Additive Logistic Regression: a Statistical View of Boosting”为出发点，实现了其中2类分类问题的4种Boost算法：Discrete AdaBoost, Real AdaBoost, LogitBoost 和Gentle AdaBoost。
Daniel Sorensen, Daniel Gianola Statistical genetics results from the merger of genetics and statistics into a coherent quantitative theory for predicting and interpreting genetic data. Based on this theory, statistical geneticists developed techniq
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becoming one of the key machineries for building search engines. Exist- ing
