Best Books – Statistics and Numerical Methods

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

Kindly note that we have put a lot of effort into researching the best books on Statistics and Numerical Methods 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 "Statistics and Numerical Methods" 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. “Miller and Freund’s Probability and Statistics for Engineers” by R A Johnson and C B Gupta

“Miller and Freund’s Probability and Statistics for Engineers” Book Review: This book is meant for engineering and physics students. It gives an introduction to probability and statistics. It provides computer exercises for MINITAB to get familiarized with this software. It explains graphs of the sampling distribution to show the critical region and p-value. It includes accessible discussion on joint distributions and the properties of expectations. It contains summary tables of testing performance which provides a reference for students. Each chapter contains a checklist of key terms and statistical guidelines to apply procedures.

2. “Numerical Methods in Engineering and Science” by Grewal B S and Grewal JS

“Numerical Methods in Engineering and Science” Book Review: This book is meant for engineering students and science students till postgraduate. It provides an introduction to numerical methods with both theoretical and applied topics. It covers concepts like approximations and errors in computation. It explains the numerical differentiation and integration. It also explains numerical solutions of ordinary and partial differential equations. This book provides numerical methods using C, C++, and MATLAB. It includes an appendix which provides answers for the exercises.

3. “Probability and Statistics for Engineers and Scientists” by R E Walpole

“Probability and Statistics for Engineers and Scientists” Book Review: This book gives a balance of both theory and methodology that provides an introduction to basic probability theory and statistical inference. It includes problems that demonstrate applications of engineering, biological, physical, and computer science. It explains the importance of experimental design and dummy variables. It also explains the rules for expectations and variances of linear functions. It includes Poisson distribution, Weibull and lognormal distributions. This book uses real data from actual studies which shows how concepts are used to solve problems in the field.

4. “Schaum’s Outlines Probability and Statistics” by J Schiller and R A Srinivasan

“Schaum’s Outlines Probability and Statistics” Book Review: This book contains solved problems and examples for students to learn easily. Practising the exercises will sharpen the problem-solving skills of students. Get an outline of the course information and practice the exercises to test your skills. The topics in this book include binomial distribution, normal distribution, conditional probability, variance analysis and many more. This book highlights all the important facts you need to take note of. It helps to shorten your study time to get the best scores.

5. “Numerical Methods for Engineers” by Chapra S C and Canale R P

“Numerical Methods for Engineers” Book Review: This book contains clear explanations and examples to explain the concept of numerical methods for engineering students. This book shows many applications that cover all engineering disciplines. Each part of the book contains a motivation that motivates students to solve problems. It also contains a mathematical background and orientation. The book closes with an epilogue to show important formulas and additional references. Students can learn new skills from this book to apply in their chosen field. The separate appendices in this book are helpful for students to make references.

6. “Applied Numerical Analysis” by Gerald C F and Wheatley P O

“Applied Numerical Analysis” Book Review: This book includes computer algebra systems such as Matlab and programming languages to show how applied numerical analysis works. Readers can understand methods to perform numerical analysis and get results easily by reading this book. This book contains the theory of techniques and applications that use numerical analysis. There are optional sections in this book to give readers who want to study deeply a better idea of this concept. There are challenging problems available for students to solve and learn. The topics in this book include solving nonlinear equations, curve fitting, approximation of functions, differentiation, integration, optimization and many more.

7. “Statistics for Everyone: A Spreadsheet Oriented Approach” by Dr. A N Sah
8. “Numerical Analysis” by Richard L Burden and J Douglas Faires

“Numerical Analysis” Book Review: This book provides a foundation for modern techniques for numerical approximation. This book explains how techniques work and when they work. The author of this book uses real-life problems to explain the concepts. Numerical methods are applied in many areas such as computer science and biology. This book shows how numerical analysis is applied in these areas. Many exercises are available for students to learn numerical analysis. Students preparing for the Actuaries examination can prepare for it using this book as the author has included examination questions in this book.

9. “Numerical Methods for Engineers and Scientists” by Joe D Hoffman and Steven Frankel

“Numerical Methods for Engineers and Scientists” Book Review: Learn about the methodology for constructing individual computer programs in a systematic manner. This book emphasizes on the finite difference approach to solve differential equations. Get accurate solutions to complex engineering problems in this book. Each chapter has an objective and discusses a representative application. It sums up all the tasks that students should be capable of doing after reading this book. This book is suitable for students to use it as a guide or to do reviews.

10. “Elementary Numerical Analysis” by Kendall Atkinson and Weimin Han

“Elementary Numerical Analysis” Book Review: This book contains MATLAB programs to give a clear understanding of numerical analysis. Students can master numerical analysis techniques and scientific computing using this book. Learn about the approximation of problems using simple methods in this text. This book allows you to learn about the construction of algorithms and iteration methods. It has some topics like error analysis and the effects of machine arithmetic.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Statistics and Numerical Methods – 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 "Statistics and Numerical Methods" so that one can readily see the list of top books on "Statistics and Numerical Methods" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Statistics and Numerical Methods subject, please let us know.

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