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Simple Harmonic Motion Advanced Level Physics GCE (Easy JavaScript Simulation) 2/2: 20170720 version

Simple Harmonic Motion Advanced Level Physics GCE (Easy JavaScript Simulation) 2/2: 20170720 version
Author: Lawrence
Publisher: Open Source Physics Singapore
Total Pages: 135
Release: 2015-02-12
Genre: Science
ISBN:

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This interactive Oscillators Advanced Level Physics chapter textbook works on both Android and iOS, offering a gorgeous, full-screen experience full of interactive simulations, animated pictures and static photos, and links to videos on Youtube. No longer limited to static pictures to illustrate the text, now students can play and conduct mathematical modeling pedagogy developed by the Author using the Open Source Physics/Easy JavaScript Simulations. They can flip through a book by simply sliding a finger along the bottom of the screen. Highlighting text, taking notes, searching for content, and finding definitions in the glossary are just as easy. And with all their books on a single device, students will have no problem carrying them wherever they go. The content are orginally based on lectures notes from Yishun Junior College, Singapore. photo from Leong T. K.. The content are licensed Creative Commons Attribution ShareALike CC-BY-SA, and the Open Source Physics/Easy JavaScript Simulations are licensed Creative Commons Attribution ShareALike Non-commercial CC-BY-SA-NC. If you are having problem getting this interactive textbook, try this link http://iwant2study.org/ospsg/index.php/154


Simulating Data with SAS

Simulating Data with SAS
Author: Rick Wicklin
Publisher: SAS Institute
Total Pages: 363
Release: 2013
Genre: Computers
ISBN: 1612903320

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Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software. This book is part of the SAS Press program.


Simple Simulations II

Simple Simulations II
Author: Charles Walcott
Publisher:
Total Pages: 0
Release: 1980
Genre:
ISBN:

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Simple Simulations 2

Simple Simulations 2
Author: Charles Walcott
Publisher:
Total Pages: 174
Release: 1980
Genre: Political Science
ISBN:

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Generalized Linear Mixed Models

Generalized Linear Mixed Models
Author: Walter W. Stroup
Publisher: CRC Press
Total Pages: 547
Release: 2016-04-19
Genre: Mathematics
ISBN: 1439815135

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With numerous examples using SAS PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider.


Understanding Molecular Simulation

Understanding Molecular Simulation
Author: Daan Frenkel
Publisher: Elsevier
Total Pages: 661
Release: 2001-10-19
Genre: Science
ISBN: 0080519989

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Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text. Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on: Transition path sampling and diffusive barrier crossing to simulaterare events Dissipative particle dynamic as a course-grained simulation technique Novel schemes to compute the long-ranged forces Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations Multiple-time step algorithms as an alternative for constraints Defects in solids The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules Parallel tempering for glassy Hamiltonians Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.


Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation
Author: Kenneth Train
Publisher: Cambridge University Press
Total Pages: 399
Release: 2009-07-06
Genre: Business & Economics
ISBN: 0521766559

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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.


Interactive Dynamic-System Simulation

Interactive Dynamic-System Simulation
Author: Granino A. Korn
Publisher: CRC Press
Total Pages: 220
Release: 2016-04-19
Genre: Mathematics
ISBN: 1439836434

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Showing you how to use personal computers for modeling and simulation, Interactive Dynamic-System Simulation, Second Edition provides a practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as aerospace vehicles, power plants, chemical processes, control systems, a


R Programming for Data Science

R Programming for Data Science
Author: Roger D. Peng
Publisher:
Total Pages: 0
Release: 2012-04-19
Genre: R (Computer program language)
ISBN: 9781365056826

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Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.


NS Simulator for Beginners

NS Simulator for Beginners
Author: Eitan Altman
Publisher: Springer Nature
Total Pages: 170
Release: 2022-06-01
Genre: Computers
ISBN: 3031792513

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NS-2 is an open-source discrete event network simulator which is widely used by both the research community as well as by the people involved in the standardization protocols of IETF. The goal of this book is twofold: on one hand to learn how to use the NS-2 simulator, and on the other hand, to become acquainted with and to understand the operation of some of the simulated objects using NS-2 simulations. The book is intended to help students, engineers or researchers who need not have much background in programming or who want to learn through simple examples how to analyse some simulated objects using NS-2. Simulations may differ from each other in many aspects: the applications, topologies, parameters of network objects (links, nodes) and protocols used, etc. The first chapter is a general introduction to the book, where the importance of NS-2 as a tool for a good comprehension of networks and protocols is stated. In the next chapters we present special topics as TCP, RED, etc., using NS-2 as a tool for better understanding the protocols. We provide in the appendices a review of Random Variables and Confidence Intervals, as well as a first sketch for using the new NS-3 simulator. Table of Contents: Introduction / NS-2 Simulator Preliminaries / How to work with trace files / Description and simulation of TCP/IP / Routing and network dynamics / RED: Random Early Discard / Differentiated Services / Mobile Networks and Wireless Local Area Networks / Classical queueing models / Tcl and C++ linkage