Best Reference Books for Statistical Modeling
List of "Best Reference Books for Statistical Modeling" 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.
- Statistical Digital Signal Processing and Modeling by Monson H. HayesWiley (Number of pages: 624)
- Modeling and Simulation Using MATLAB - Simulink: For ECE by Shailendra Jain,Sanjeevan KapsheWiley (Number of pages: 776)
- Microsoft Excel Data Analysis and Business Modeling (Bpg-Other) by Wayne WinstonMicrosoft Press US (Number of pages: 624)
- Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition by Bruce RatnerChapman and Hall/CRC (Number of pages: 696)
- Modeling and Analysis of Stochastic Systems, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by Vidyadhar G. KulkarniChapman and Hall/CRC (Number of pages: 544)
- Modeling for Insight: A Master Class for Business Analysts by Robert J. Batt Stephen G. PowellWiley (Number of pages: 496)
- Statistical Models and Methods for Financial Markets (Springer Texts in Statistics) by Tze Leung Lai,Haipeng XingSpringer (Number of pages: 356)
- R Cookbook (O'Reilly Cookbooks) by Paul TeetorO′Reilly (Number of pages: 436)
- New Advances in Statistical Modeling and Applications (Studies in Theoretical and Applied Statistics) bySpringer (Number of pages: 285)
- Statistical Modeling and Computation by Dirk P. Kroese,Joshua C.C. ChanSpringer (Number of pages: 400)
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