Best Reference Books – Decision Modelling and Estimation Theory

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We have compiled the list of Top 10 Best Reference Books on Decision Modelling and Estimation Theory subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Decision Modelling and Estimation Theory along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Decision Modelling and Estimation Theory subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Decision Modelling and Estimation Theory" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Traffic Flow Dynamics: Data, Models and Simulation” by Martin Treiber and Arne Kesting

“Traffic Flow Dynamics: Data, Models and Simulation” by Martin Treiber and Arne Kesting
“Traffic Flow Dynamics: Data, Models and Simulation” Book Review: This book explains vehicular traffic flow dynamics and their modeling. The book covers topics like categories of traffic data, mathematical description of dynamics of traffic flow which includes macroscopic models and microscopic models. The book also explains traffic instabilities, model calibration/validation and the theoretical framework which has been presented in applications like traffic state, travel time estimation, intelligent transport systems and a detailed physics model for fuel consumption and emissions. A large number of figures and problems with solutions are provided to give a thorough understanding of the concepts. This book is mainly targeted for students of physics and traffic engineering, students and professionals in computer science, mathematics and is also referred to as a project work in programming and its simulation at colleges and universities.

2. “From Product Description to Cost: A Practical Approach: Volume 1: The Parametric Approach (Decision Engineering)” by Pierre Marie Maurice Foussier

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“From Product Description to Cost: A Practical Approach: Volume 1: The Parametric Approach (Decision Engineering)” Book Review: This book is divided into 4 parts where the first part discusses the framework which includes cost estimation, measurement and an introduction to the Paramaetrics. The second part is about preparing the data which comprise data collection and checking, their economics, cost improvement curves and plant capacity and loads. The third part explains General Models which tells how to build a general model and about general modelization. The fourth and the last part covers how to use models which includes using a specific and a general model, risk analysis and auditing Parametrics. There is no prerequisite to read the book. The book has some real life examples for the better understanding of the concepts explained. The book can be used by anyone who is involved in cost estimating.

3. “Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)” by Rand R Wilcox

“Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)” Book Review: This book explains the modern day statistical methods. The book also shows a comparison of the modern methods with the conventional approaches of ANOVA and regression. The book also provides a combination of theoretical developments, statistical models and computational methods. The book explains various practical strategies which give practical solutions to various problems. The book also gives a software which is built in S-PLUS which is available free of charge. The book is for those involved in statistical modeling and decision science.

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4. “Mathematical Modeling, Bayesian Estimation, and Inverse Problems: 3816 (Proceedings of SPIE)” by Francoise Preteux and Ali Mohammad-Djafari
5. “Modeling and Estimation of Structural Damage” by Jonathan M Nichols and Kevin D Murphy

“Modeling and Estimation of Structural Damage” Book Review: This comprehensive book provides help in solving modeling and estimation problems which is linked to the physics of structural damage. The book also adopts a model based approach and an in-depth knowledge of probability theory. The book also provides numerous algorithms and Bayseian estimation approaches. The book has experimenta examples of all detection and identification approaches. This book can be referred to by all the professionals working in this domain and all the students pursuing this course.

6. “Parallel Scientific Computing and Optimization: Advances and Applications” by Bo Kågström and Raimondas Ciegis

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“Parallel Scientific Computing and Optimization: Advances and Applications” Book Review: The book explains various developments in construction, analysis and implementations of parallel computing algorithms. The book contains 23 chapters which include survey chapters which have been compiled by researchers in the field of parallel computing. The topics like parallel algorithms for matrix computations, parallel optimization and management of parallel programming models are also covered. The book is mainly designed for scientists and graduate students who specialise in computer science and applied mathematics.

7. “Modelling Extremal Events: for Insurance and Finance (Stochastic Modelling and Applied Probability)” by Paul Embrechts and Claudia Klüppelberg

“Modelling Extremal Events: for Insurance and Finance (Stochastic Modelling and Applied Probability)” Book Review: The book provides a mix of theory and applications with a large number of illustrations. The book also provides a large number of real life examples and it also gives a large number of shapes and distributions. This book is mainly designed for probabilists and statisticians.

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8. “Model Based Parameter Estimation: Theory and Applications (Contributions in Mathematical and Computational Sciences)” by Hans Georg Bock and Johannes Schlöder

“Model Based Parameter Estimation: Theory and Applications (Contributions in Mathematical and Computational Sciences)” Book Review: The book provides a large number of advanced numerical methods and latest results for applications. The book also shows the use of scientific computing to model, simulate and optimize complex processes. The book also combines mathematical and numerical methods for parameter estimation and experimental design which include the fields of biology, medicine, chemistry, environmental physics, image processing and computer vision. The book is mainly for students of applied mathematics, computer science and working professionals and researchers in this domain.

9. “Traffic Flow Dynamics: Data, Models and Simulation” by Martin Treiber and Arne Kesting
10. “Automatic trend estimation (SpringerBriefs in Physics)” by Maria Cr˘aciun and C˘alin Vamos

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“Automatic trend estimation (SpringerBriefs in Physics)” Book Review: The book evaluates the accuracy of trend estimation algorithms in conditions similar to real time processing. The first part of the book methods that are based on Monte Carlo experiments with artificial time series numerically which are generated by an original algorithm. The second part focuses on automatic algorithms for trend estimation and time series partitioning. The book explains the clear conditions under which the algorithms are evaluated. The book also presents functions of algorithms by processing time series from astrophysics, finance, biophysics, and paleoclimatology. The book also provides source codes which are available in the appendix and on the web. This book can be referred to by students and working professionals in the field of computational and statistical physics.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Decision Modelling and Estimation Theory – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Decision Modelling and Estimation Theory" so that one can readily see the list of top books on "Decision Modelling and Estimation Theory" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Decision Modelling and Estimation Theory subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter