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Using Matlab To Solve Statistical Problems
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Book Synopsis Using MATLAB to Solve Statistical Problems by : Yuri A.W. Shardt
Download or read book Using MATLAB to Solve Statistical Problems written by Yuri A.W. Shardt and published by Springer Nature. This book was released on 2023-11-01 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired.
Book Synopsis Using MATLAB to Solve Statistical Problems by : Yuri A.W. Shardt
Download or read book Using MATLAB to Solve Statistical Problems written by Yuri A.W. Shardt and published by Springer. This book was released on 2023-10-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This companion book to the textbook Statistics for Chemical and Process Engineers−A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired.
Download or read book Matlab written by Dorothy C. Attaway and published by Butterworth-Heinemann. This book was released on 2013-06-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software’s powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on concepts throughout the text, facilitating easier learning. Sections on common pitfalls and programming guidelines direct students towards best practice. The book is organized into 14 chapters, starting with programming concepts such as variables, assignments, input/output, and selection statements; moves onto loops; and then solves problems using both the ‘programming concept’ and the ‘power of MATLAB’ side-by-side. In-depth coverage is given to input/output, a topic that is fundamental to many engineering applications. Vectorized Code has been made into its own chapter, in order to emphasize the importance of using MATLAB efficiently. There are also expanded examples on low-level file input functions, Graphical User Interfaces, and use of MATLAB Version R2012b; modified and new end-of-chapter exercises; improved labeling of plots; and improved standards for variable names and documentation. This book will be a valuable resource for engineers learning to program and model in MATLAB, as well as for undergraduates in engineering and science taking a course that uses (or recommends) MATLAB. Presents programming concepts and MATLAB built-in functions side-by-side Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning Sections on common pitfalls and programming guidelines direct students towards best practice
Book Synopsis NUMERICAL, SYMBOLIC AND STATISTICAL COMPUTING FOR CHEMICAL ENGINEERS USING MATLAB by : Ghosh, Pallab
Download or read book NUMERICAL, SYMBOLIC AND STATISTICAL COMPUTING FOR CHEMICAL ENGINEERS USING MATLAB written by Ghosh, Pallab and published by PHI Learning Pvt. Ltd.. This book was released on 2018-09-01 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical, analytical and statistical computations are routine affairs for chemical engineers. They usually prefer a single software to solve their computational problems, and at present, MATLAB has emerged as a powerful computational language, which is preferably used for this purpose, due to its built-in functions and toolboxes. Considering the needs and convenience of the students, the author has made an attempt to write this book, which explains the various concepts of MATLAB in a systematic way and makes its readers proficient in using MATLAB for computing. It mainly focuses on the applications of MATLAB, rather than its use in programming basic numerical algorithms. Commencing with the introduction to MATLAB, the text covers vector and matrix computations, solution of linear and non-linear equations, differentiation and integration, and solution of ordinary and partial differential equations. Next, analytical computations using the Symbolic Math Toolbox and statistical computations using the Statistics and Machine Learning Toolbox are explained. Finally, the book describes various curve fitting techniques using the Curve Fitting Toolbox. Inclusion of all these advanced-level topics in the book stands it out from the rest. KEY FEATURES Numerous worked-out examples to enable the readers understand the steps involved in solving the chemical engineering problems MATLAB codes to explain the computational techniques Several snapshots to help the readers understand the step-by-step procedures of using the toolboxes Chapter-end exercises, including short-answer questions and numerical problems Appendix comprising the definitions of some important and special matrices Supplemented with Solutions Manual containing complete detailed solutions to the unsolved analytical problems Accessibility of selected colour figures (including screenshots and results/outputs of the programs) cited in the text at www.phindia.com/Pallab_Ghosh. TARGET AUDIENCE • BE/B.Tech (Chemical Engineering) • ME/M.Tech (Chemical Engineering)
Book Synopsis Numerical and Analytical Methods with MATLAB by : William Bober
Download or read book Numerical and Analytical Methods with MATLAB written by William Bober and published by CRC Press. This book was released on 2009-08-11 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical and Analytical Methods with MATLAB presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problem
Download or read book Matlab written by Dorothy C. Attaway and published by Elsevier. This book was released on 2011-06-30 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB: A Practical Introduction to Programming and Problem Solving, Second Edition, is the only book that gives a full introduction to programming in MATLAB combined with an explanation of MATLAB’s powerful functions, enabling engineers to fully exploit the software’s power to solve engineering problems. The text aims to provide readers with the knowledge of the fundamentals of programming concepts and the skills and techniques needed for basic problem solving using MATLAB as the vehicle. The book presents programming concepts such as variables, assignments, input/output, and selection statements as well as MATLAB built-in functions side-by-side, giving students the ability to program efficiently and exploit the power of MATLAB to solve problems. In-depth coverage is given to input/output, a topic that is fundamental to many engineering applications. A systematic, step-by-step approach that builds on concepts is used throughout the book, facilitating easier learning. There are also sections on ‘common pitfalls’ and ‘programming guidelines’ that direct students towards best practice. This book will be an invaluable resource for engineers, engineering novices, and students learning to program and model in MATLAB. Presents programming concepts and MATLAB built-in functions side-by-side, giving students the ability to program efficiently and exploit the power of MATLAB to solve problems In depth coverage of file input/output, a topic essential for many engineering applications Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning Sections on ‘common pitfalls’ and ‘programming guidelines’ direct students towards best practice New to this edition: More engineering applications help the reader learn Matlab in the context of solving technical problems New and revised end of chapter problems Stronger coverage of loops and vectorizing in a new chapter, chapter 5 Updated to reflect current features and functions of the current release of Matlab
Book Synopsis Numerical, Symbolic and Statistical Computing for Chemical E by : Pallab Ghosh
Download or read book Numerical, Symbolic and Statistical Computing for Chemical E written by Pallab Ghosh and published by . This book was released on 2018-10-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific Computing with MATLAB by : Dingyu Xue
Download or read book Scientific Computing with MATLAB written by Dingyu Xue and published by CRC Press. This book was released on 2016-02-17 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter. The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.
Book Synopsis An Introduction to MATLAB for Behavioral Researchers by : Christopher R. Madan
Download or read book An Introduction to MATLAB for Behavioral Researchers written by Christopher R. Madan and published by SAGE Publications. This book was released on 2013-12-18 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB is a powerful data analysis program, but many behavioral science researchers find it too daunting to learn and use. An Introduction to MATLAB for Behavioral Researchers is an easy-to-understand, hands-on guide for behavioral researchers who have no prior programming experience. Written in a conversational and non-intimidating style, the author walks students—step by step—through analyzing real experimental data. Topics covered include the basics of programming, the implementation of simple behavioral analyses, and how to make publication-ready figures. More advanced topics such as pseudo-randomization of trial sequences to meet specified criteria and working with psycholinguistic data are also covered. Interesting behavioral science examples and datasets from published studies, such as visualizing fixation patterns in eye-tracking studies and animal search behavior in two-dimensional space, help develop an intuition for data analysis, which is essential and can only be developed when working with real research problems and real data.
Book Synopsis Engineering Problem Solving with MATLAB by : D. M. Etter
Download or read book Engineering Problem Solving with MATLAB written by D. M. Etter and published by . This book was released on 1993 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the cornerstone tuturial in the MATLAB...- Curriculum Series. It introduces general problem-solving and design techniques through a five-step process using MATLAB for analysis and graphical display.
Book Synopsis Statistics in MATLAB by : MoonJung Cho
Download or read book Statistics in MATLAB written by MoonJung Cho and published by CRC Press. This book was released on 2014-12-15 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This primer provides an accessible introduction to MATLAB version 8 and its extensive functionality for statistics. Fulfilling the need for a practical user's guide, the book covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB, presenting examples of how MATLAB can be used to analyze data. It explains how to determine what method should be used for analysis, and includes figures, visual aids, and access to a companion website with data sets and additional examples.
Book Synopsis A MATLAB Exercise Book by : Ludmila Kuncheva
Download or read book A MATLAB Exercise Book written by Ludmila Kuncheva and published by Lulu.com. This book was released on 2014-06-18 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to problem solving using MATLAB. Designed to complement a taught course introducing MATLAB but ideally suited for any beginner. This book provides a brief tour of some of the tasks that MATLAB is perfectly suited to instead of focusing on any particular topic. Providing instruction, guidance and a large supply of exercises, this book is meant to stimulate problem-solving skills rather than provide an in-depth knowledge of the MATLAB language.
Book Synopsis Numerical Computing with MATLAB by : Cleve B. Moler
Download or read book Numerical Computing with MATLAB written by Cleve B. Moler and published by SIAM. This book was released on 2010-08-12 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.
Book Synopsis Applied Numerical Methods Using MATLAB by : Won Y. Yang
Download or read book Applied Numerical Methods Using MATLAB written by Won Y. Yang and published by John Wiley & Sons. This book was released on 2020-03-31 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition provides an updated approach for students, engineers, and researchers to apply numerical methods for solving problems using MATLAB® This accessible book makes use of MATLAB® software to teach the fundamental concepts for applying numerical methods to solve practical engineering and/or science problems. It presents programs in a complete form so that readers can run them instantly with no programming skill, allowing them to focus on understanding the mathematical manipulation process and making interpretations of the results. Applied Numerical Methods Using MATLAB®, Second Edition begins with an introduction to MATLAB usage and computational errors, covering everything from input/output of data, to various kinds of computing errors, and on to parameter sharing and passing, and more. The system of linear equations is covered next, followed by a chapter on the interpolation by Lagrange polynomial. The next sections look at interpolation and curve fitting, nonlinear equations, numerical differentiation/integration, ordinary differential equations, and optimization. Numerous methods such as the Simpson, Euler, Heun, Runge-kutta, Golden Search, Nelder-Mead, and more are all covered in those chapters. The eighth chapter provides readers with matrices and Eigenvalues and Eigenvectors. The book finishes with a complete overview of differential equations. Provides examples and problems of solving electronic circuits and neural networks Includes new sections on adaptive filters, recursive least-squares estimation, Bairstow's method for a polynomial equation, and more Explains Mixed Integer Linear Programing (MILP) and DOA (Direction of Arrival) estimation with eigenvectors Aimed at students who do not like and/or do not have time to derive and prove mathematical results Applied Numerical Methods Using MATLAB®, Second Edition is an excellent text for students who wish to develop their problem-solving capability without being involved in details about the MATLAB codes. It will also be useful to those who want to delve deeper into understanding underlying algorithms and equations.
Book Synopsis Computational Statistics Handbook with MATLAB by : Wendy L. Martinez
Download or read book Computational Statistics Handbook with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2001-09-26 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with
Book Synopsis Engineering Statistics by : Lester William Schmerr (Jr.)
Download or read book Engineering Statistics written by Lester William Schmerr (Jr.) and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This text makes use of symbolic algebra and vector-matrix algebra to demonstrate a new approach to learning statics. Symbolic solutions are obtained, together with the types of solutions covered in other texts, so that students can see the advantages of this new approach. This innovative text is an extension of second-generation vector Statics courses to a new, third generation matrix-vector Statics course, a course that addresses deformable as well as rigid bodies and employs MATLAB. MATLAB® is used as a "calculator" whose built-in functions are used to solve statics problems. This text uses vectors and matrices to solve both statically determinate rigid body problems as well as statically indeterminate problems for deformable bodies. The inclusion of statically indeterminate problems is unique to this text. It is made possible by using symbolic algebra and a new, simplified vector-matrix formulation that combines the equations of equilibrium, the homogeneous solutions to those equations, and a description of the flexibilities found in the deformable elements of a structure to solve directly for the unknown forces/moments"--
Book Synopsis Computational Statistics in Data Science by : Richard A. Levine
Download or read book Computational Statistics in Data Science written by Richard A. Levine and published by John Wiley & Sons. This book was released on 2022-03-23 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science präsentiert ein Team aus bekannten Mathematikern und Statistikern eine fundierte Zusammenstellung von Konzepten, Theorien, Techniken und Praktiken der computergestützten Statistik für ein Publikum, das auf der Suche nach einem einzigen, umfassenden Referenzwerk für Statistik in der modernen Datenwissenschaft ist. Das Buch enthält etliche Kapitel zu den wesentlichen konkreten Bereichen der computergestützten Statistik, in denen modernste Techniken zeitgemäß und verständlich dargestellt werden. Darüber hinaus bietet Computational Statistics in Data Science einen kostenlosen Zugang zu den fertigen Einträgen im Online-Nachschlagewerk Wiley StatsRef: Statistics Reference Online. Außerdem erhalten die Leserinnen und Leser: * Eine gründliche Einführung in die computergestützte Statistik mit relevanten und verständlichen Informationen für Anwender und Forscher in verschiedenen datenintensiven Bereichen * Umfassende Erläuterungen zu aktuellen Themen in der Statistik, darunter Big Data, Datenstromverarbeitung, quantitative Visualisierung und Deep Learning Das Werk eignet sich perfekt für Forscher und Wissenschaftler sämtlicher Fachbereiche, die Techniken der computergestützten Statistik auf einem gehobenen oder fortgeschrittenen Niveau anwenden müssen. Zudem gehört Computational Statistics in Data Science in das Bücherregal von Wissenschaftlern, die sich mit der Erforschung und Entwicklung von Techniken der computergestützten Statistik und statistischen Grafiken beschäftigen.
