Best Reference Books for Mathematical And Statistical Methods In Chemical Engineering

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List of "Best Reference Books for Mathematical And Statistical Methods In Chemical Engineering" 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.

1. Computational Methods in Chemical Engineering with Maple by Ralph E. White,Venkat R. Subramanian
   Springer (Number of pages: 860)
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2. Mathematical Models of Granular Matter (Lecture Notes in Mathematics) by
   Springer (Number of pages: 216)
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3. Waves Called Solitons: Concepts and Experiments (Advanced Texts in Physics) by Michel Remoissenet
   Springer (Number of pages: 328)
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4. Performance Assessment for Process Monitoring and Fault Detection Methods by Kai Zhang
   Springer Vieweg (Number of pages: 153)
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5. Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data (Use R!) by
   Springer (Number of pages: 282)
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6. mODa 9 – Advances in Model-Oriented Design and Analysis: Proceedings of the 9th International Workshop in Model-Oriented Design and Analysis held in ... 14-18, 2010 (Contributions to Statistics) by
   Physica (Number of pages: 239)
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7. Numerical and Statistical Methods for Bioengineering: Applications in MATLAB (Cambridge Texts in Biomedical Engineering) by Michael R. King,Nipa A. Mody
   Cambridge University Press (Number of pages: 594)
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8. Encyclopaedia of Numerical Methods for Chemical Engineering: Applications in Matlab (4 Volumes) by
   Auris Reference
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9. Analysis Of Chemically Reactng (Topics in Chemical Engineering) by L. K. Doraiswamy,B.D. Kulkarni
   Routledge (Number of pages: 488)
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10. Statistical Methods in Applied Chemistry (Physical Sciences Data) by Jurand Czerminski,etc.,A. Iwasiewicz,Z. Paszek,A. Sikorski
    Elsevier Science Ltd (Number of pages: 512)
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