Textbook Data Set and Programming(教科书数据编程总汇）

thank you to all for your sharing, xie xie

Book Description[size=0.86em]Publication Date: September 10, 1998 | ISBN-10: 0824798600 | ISBN-13: 978-0824798604 | Edition: 1
This useful reference describes the statistical planning and design of pharmaceutical experiments, covering all stages in the development process-including preformulation, formulation, process study and optimization, scale-up, and robust process and formulation development. It shows how to overcome pharmaceutical, technological, and economic constraints on experiment design! Directly comparing the advantages and disadvantages of specific techniques, "Pharmaceutical Experimental Design" offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other books reviews screening designs for qualitative factors at different levels presents designs for predictive models and their use in optimization highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirability discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transfer details nonstandard designs and mixtures analyzes factorial, D-optimal design, and offline quality assurance techniques reveals how one experimental design evolves from another and more! Featuring over 700 references, tables, equations, and drawings, Pharmaceutical Experimental Design is suitable for industrial, research, and clinical pharmaceutical scientists, pharmacists, and pharmacologists; statisticians and biostatisticians; drug regulatory affairs personnel; biotechnologists; formulation, analytical, and synthetic chemists and engineers, quality assurance personnel; all users of statistical experimental design in research and development; and postgraduate and postdoctoral research workers in these disciplines.

Product Details

• Series: Drugs and the Pharmaceutical Sciences (Book 92)
• Hardcover: 512 pages
• Publisher: CRC Press; 1 edition (September 10, 1998)
• Language: English
• ISBN-10: 0824798600
• ISBN-13: 978-0824798604
  

Textbook Dowload: http://ishare.edu.sina.com.cn/f/9640414.html

Marketing Research with SPSS

Patrick De Pelsmacker (Author), Patrick Van Kenhove (Author), Wim Janssens (Author), Katrien Wijnen (Author)

Textbook: https://bbs.pinggu.org/a-1343124.html
http://www.pearson.ch/HigherEducation/FTPrenticeHall/1449/9780273703839/Marketing-Research-with-SPSS.aspx

Data Mining and Statistics for Decision Making
Data Set: http://bcs.wiley.com/he-bcs/Books?action=index&itemId=0470688297&bcsId=6344
Textbook: Sina Ishare; Pinggu

The Art of R Programming- A Tour of Statistical Software Design

by Norman Matloff

October 2011, 400 pp.

ISBN: 978-1-59327-384-2

• Download Chapter 3: "Matrices and Arrays"
• Download the code from the book
• Download the data files from the book
  

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.

Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:

• Create artful graphs to visualize complex data sets and functions
• Write more efficient code using parallel R and vectorization
• Interface R with C/C++ and Python for increased speed or functionality
• Find new R packages for text analysis, image manipulation, and more
• Squash annoying bugs with advanced debugging techniques
  

Whether you're designing aircraft, forecasting the weather, or you just need to tame your data,The Art of R Programming is your guide to harnessing the power of statistical computing.

https://github.com/cosname/art-r-translation