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Author: John Arthur Rafter Publisher: Academic Press ISBN: 9780120415564 Category : Computers Languages : en Pages : 854
Book Description
Statistics with Maple is a practical guide for engineers, statisticians, business professionals and others who use the Maple software package and who wish to use it to produce numerical summaries, make graphical displays, and perform statistical inference. The book and software package is unique in its focus on using Maple for statistical methodology. This tutorial and reference manual assumes that readers have a basic knowledge of statistics and a familiarity with Maple. * When a statistical concept is introduced, the appropriate Maple syntax is provided along with a straightforward, worked-out example * Authors provide over 150 procedures on a CD-ROM that is packaged with the book * Users are invited to copy the code into Maple worksheets and modify it for their own use
Author: John Arthur Rafter Publisher: Academic Press ISBN: 9780120415564 Category : Computers Languages : en Pages : 854
Book Description
Statistics with Maple is a practical guide for engineers, statisticians, business professionals and others who use the Maple software package and who wish to use it to produce numerical summaries, make graphical displays, and perform statistical inference. The book and software package is unique in its focus on using Maple for statistical methodology. This tutorial and reference manual assumes that readers have a basic knowledge of statistics and a familiarity with Maple. * When a statistical concept is introduced, the appropriate Maple syntax is provided along with a straightforward, worked-out example * Authors provide over 150 procedures on a CD-ROM that is packaged with the book * Users are invited to copy the code into Maple worksheets and modify it for their own use
Author: Sasha Cyganowski Publisher: Springer Science & Business Media ISBN: 3642561446 Category : Mathematics Languages : en Pages : 323
Book Description
This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. Based on measure theory, which is introduced as smoothly as possible, it provides practical skills in the use of MAPLE in the context of probability and its applications. It offers to graduates and advanced undergraduates an overview and intuitive background for more advanced studies.
Author: Gopal K Kanji Publisher: SAGE ISBN: 9781412923767 Category : Mathematics Languages : en Pages : 262
Book Description
Expanded and updated, the Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. The Third Edition now includes: - a new introduction to statistical testing with information to guide even the non-statistician through the book quickly and easily - real-world explanations of how and when to use each test with examples drawn from wide range of disciplines - a useful Classification of Tests table - all the relevant statistical tables for checking critical valu.
Author: Frank Garvan Publisher: CRC Press ISBN: 1420035606 Category : Mathematics Languages : en Pages : 494
Book Description
Maple is a very powerful computer algebra system used by students, educators, mathematicians, statisticians, scientists, and engineers for doing numerical and symbolic computations. Greatly expanded and updated from the author's MAPLE V Primer, The MAPLE Book offers extensive coverage of the latest version of this outstanding software package, MAPL
Author: Mahmut Parlar Publisher: Springer Science & Business Media ISBN: 1461213568 Category : Business & Economics Languages : en Pages : 478
Book Description
Interactive Operations Research with Maple: Methods and Models has two ob jectives: to provide an accelerated introduction to the computer algebra system Maple and, more importantly, to demonstrate Maple's usefulness in modeling and solving a wide range of operations research (OR) problems. This book is written in a format that makes it suitable for a one-semester course in operations research, management science, or quantitative methods. A nwnber of students in the departments of operations research, management science, oper ations management, industrial and systems engineering, applied mathematics and advanced MBA students who are specializing in quantitative methods or opera tions management will find this text useful. Experienced researchers and practi tioners of operations research who wish to acquire a quick overview of how Maple can be useful in solving OR problems will find this an excellent reference. Maple's mathematical knowledge base now includes calculus, linear algebra, ordinary and partial differential equations, nwnber theory, logic, graph theory, combinatorics, statistics and transform methods. Although Maple's main strength lies in its ability to perform symbolic manipulations, it also has a substantial knowledge of a large nwnber of nwnerical methods and can plot many different types of attractive-looking two-dimensional and three-dimensional graphs. After almost two decades of continuous improvement of its mathematical capabilities, Maple can now boast a user base of more than 300,000 academics, researchers and students in different areas of mathematics, science and engineering.
Author: David F. Anderson Publisher: Cambridge University Press ISBN: 110824498X Category : Mathematics Languages : en Pages : 447
Book Description
This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Author: R.J. Stroeker Publisher: Birkhäuser ISBN: 3034887264 Category : Computers Languages : en Pages : 240
Book Description
This unusual introduction to Maple shows readers how Maple or any other computer algebra system fits naturally into a mathematically oriented work environment. Designed for mathematicians, engineers, econometricians, and other scientists, this book shows how computer algebra can enhance their theoretical work. A CD-ROM contains all the Maple worksheets presented in the book.
Author: Ronald W. Shonkwiler Publisher: Springer Science & Business Media ISBN: 0387709843 Category : Science Languages : en Pages : 552
Book Description
This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field of genomics.
Author: William P Fox Publisher: CRC Press ISBN: 0429891326 Category : Computers Languages : en Pages : 405
Book Description
Advanced Problem Solving Using MapleTM: Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis applies the mathematical modeling process by formulating, building, solving, analyzing, and criticizing mathematical models. Scenarios are developed within the scope of the problem-solving process. The text focuses on discrete dynamical systems, optimization techniques, single-variable unconstrained optimization and applied problems, and numerical search methods. Additional coverage includes multivariable unconstrained and constrained techniques. Linear algebra techniques to model and solve problems such as the Leontief model, and advanced regression techniques including nonlinear, logistics, and Poisson are covered. Game theory, the Nash equilibrium, and Nash arbitration are also included. Features: The text’s case studies and student projects involve students with real-world problem solving Focuses on numerical solution techniques in dynamical systems, optimization, and numerical analysis The numerical procedures discussed in the text are algorithmic and iterative Maple is utilized throughout the text as a tool for computation and analysis All algorithms are provided with step-by-step formats About the Authors: William P. Fox is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School. Currently, he is an adjunct professor, Department of Mathematics, the College of William and Mary. He received his PhD at Clemson University and has many publications and scholarly activities including twenty books and over one hundred and fifty journal articles. William C. Bauldry, Prof. Emeritus and Adjunct Research Prof. of Mathematics at Appalachian State University, received his PhD in Approximation Theory from Ohio State. He has published many papers on pedagogy and technology, often using Maple, and has been the PI of several NSF-funded projects incorporating technology and modeling into math courses. He currently serves as Associate Director of COMAP’s Math Contest in Modeling (MCM).
Author: Martha L. Abell Publisher: Elsevier ISBN: 0080496377 Category : Computers Languages : en Pages : 563
Book Description
Maple by Example, Third Edition, is a reference/text for beginning and experienced students, professional engineers, and other Maple users. This new edition has been updated to be compatible with the most recent release of the Maple software. Coverage includes built-in Maple commands used in courses and practices that involve calculus, linear algebra, business mathematics, ordinary and partial differential equations, numerical methods, graphics and more. Updated coverage of Maple features and functions Backwards compatible for all versions New applications from a variety of fields, including biology, physics and engineering Expanded topics with many additional examples
Author: John Arthur Rafter
Author: John Arthur Rafter
Author: Sasha Cyganowski
Author: Gopal K Kanji
Author: Frank Garvan
Author: Mahmut Parlar
Author: David F. Anderson
Author: R.J. Stroeker
Author: Ronald W. Shonkwiler
Author: William P Fox
Author: Martha L. Abell