AnyLogic 7 in Three Days

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Release : 2015-03-20
Genre : Business
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Book Rating : 748/5 ( reviews)

AnyLogic 7 in Three Days - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AnyLogic 7 in Three Days write by Ilya Grigoryev. This book was released on 2015-03-20. AnyLogic 7 in Three Days available in PDF, EPUB and Kindle. THE NEW EDITION OF THE BOOK, COMPLETELY UP-TO-DATE (FOR ANYLOGIC 8.3.2) IS AVAILABLE HERE: https://www.amazon.com/AnyLogic-Three-Days-Simulation-Modeling-ebook/dp/B07FYP8Y3C

AnyLogic 6 in Three Days

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Author :
Release : 2012
Genre : Computers
Kind :
Book Rating : 675/5 ( reviews)

AnyLogic 6 in Three Days - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AnyLogic 6 in Three Days write by Ilya Grigoryev. This book was released on 2012. AnyLogic 6 in Three Days available in PDF, EPUB and Kindle. This is the first practical textbook on AnyLogic 6 from AnyLogic developers. AnyLogic is the unique simulation software that supports three simulation modeling methods: system dynamics, discrete event, and agent based modeling and allows you to create multi-method models. This book is based on the 3-day AnyLogic training. The book is structured around four examples: a manufacturing model, a warehouse model, a model of a consumer market, and an epidemic model. We also give some theory on different modeling methods. You can consider this book as your first guide in studying AnyLogic.

Simulation Modeling and Analysis with Expertfit Software

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Release : 2006-07-21
Genre : Technology & Engineering
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Book Rating : 414/5 ( reviews)

Simulation Modeling and Analysis with Expertfit Software - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation Modeling and Analysis with Expertfit Software write by Averill Law. This book was released on 2006-07-21. Simulation Modeling and Analysis with Expertfit Software available in PDF, EPUB and Kindle. Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

Statistical Rethinking

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Release : 2018-01-03
Genre : Mathematics
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Book Rating : 619/5 ( reviews)

Statistical Rethinking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Rethinking write by Richard McElreath. This book was released on 2018-01-03. Statistical Rethinking available in PDF, EPUB and Kindle. Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Introduction to Information Retrieval

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Release : 2008-07-07
Genre : Computers
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Book Rating : 100/5 ( reviews)

Introduction to Information Retrieval - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Information Retrieval write by Christopher D. Manning. This book was released on 2008-07-07. Introduction to Information Retrieval available in PDF, EPUB and Kindle. Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.