Best Reference Books for Statistical Methods Of Analysis And Design
List of "Best Reference Books for Statistical Methods Of Analysis And Design" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.
- SAS Essentials: Mastering SAS for Data Analytics by Alan C. Elliott,Wayne A. WoodwardWiley (Number of pages: 528)
- Statistical Design and Analysis of Stability Studies (Chapman & Hall/CRC Biostatistics Series) by Shein-Chung ChowChapman and Hall/CRC (Number of pages: 352)
- R Cookbook (O'Reilly Cookbooks) by Paul TeetorO′Reilly (Number of pages: 436)
- Introducing Monte Carlo Methods with R (Use R!) by Christian Robert,George CasellaSpringer (Number of pages: 284)
- Microsoft Excel Data Analysis and Business Modeling (Bpg-Other) by Wayne WinstonMicrosoft Press US (Number of pages: 624)
- Statistical Design (Springer Texts in Statistics) by George CasellaSpringer (Number of pages: 307)
- Sequential Experimentation in Clinical Trials: Design and Analysis (Springer Series in Statistics) by Jay Bartroff,Tze Leung Lai,Mei-Chiung ShihSpringer (Number of pages: 240)
- Social Science Research Design and Statistics: A Practitioner's Guide to Research Methods and SPSS Analysis by Alfred P Rovai,Jason D Baker,Michael K PontonWatertree Press LLC (Number of pages: 558)
- Nursing Research Using Data Analysis (Qualitative Designs and Methods in Nursing) bySpringer Publishing Co Inc (Number of pages: 252)
- Mathematical Methods for Protein Structure Analysis and Design: Advanced Lectures (Lecture Notes in Computer Science) bySpringer (Number of pages: 157)
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