Applied Statistics and Statistical Computing Textbooks Every Statistician Should Have

Applied statistics with Statistical computing are two terms working hamds in hand Applied statistics with Statistical computing can be define as a mathematical method or inductive science in which information is extracted or draw from sample data in order to draw a valid conclusion on the basis of such data.

Applied statistics with Statistical computing can be used virtually in every field include: Science , Information and Technology, engineering, Sociology, environment, finance, healthcare, government, retail and social sciences in general.

Applied statistics with Statistical computing includes comprises data  collection, data management, data analysis, interpreting of data and drawing valid conclusions from the data, and mentioning and identifying problems, solutions and opportunities using the analysis. 

Some of the textbook that can best be use for Applied statistics with Statistical computing are:-

i. David Freedman Statistics, 4th Edition

ii. Probability and Statistics for Engineering and the Sciences 8th Edition

iii. Modern Applied Statistics with S (Statistics and Computing) 4th Edition

iv. Software for Data Analysis: Programming with R (Statistics and Computing)

v. The Art of R Programming: A Tour of Statistical Software Design 1st Edition

vi. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

vii. Data Analysis Using Regression and Multilevel/Hierarchical Models

viii. Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

If you're interest in any one of the above textbook you can drop your comments using the comments box below