Modern Statistical Methods In Digital Simulation

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Modern Statistical Methods In Digital Simulation

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Author :
language : en
Publisher:
Release Date : 1984

Modern Statistical Methods In Digital Simulation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.

Modern Statistical Methods In Digital Simulation

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Author : Pandu R. Tadikamalla
language : en
Publisher: American Sciences Press, Incorporated
Release Date : 1984

Modern Statistical Methods In Digital Simulation written by Pandu R. Tadikamalla and has been published by American Sciences Press, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computers categories.

Modern Statistical Methods In Digital Simulation 3 1984

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Author : Pandu R. Tadikamalla
language : en
Publisher:
Release Date : 1984

Modern Statistical Methods In Digital Simulation 3 1984 written by Pandu R. Tadikamalla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Digital computer simulation categories.

Modern Statistical Systems And Gpss Simulation Second Edition

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Author : Zaven A. Karian
language : en
Publisher: CRC Press
Release Date : 1998-11-09

Modern Statistical Systems And Gpss Simulation Second Edition written by Zaven A. Karian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-11-09 with Business & Economics categories.

Modern Statistical, Systems, and GPSS Simulation, Second Edition introduces the theory and implementation of discrete-event simulation. This text: establishes a theoretical basis for simulation methodology provides details of an important simulation language (GPSS - General Purpose Simulation System) integrates these two elements in a systems simulation case study Valuable additions to the second edition include coverage of random number generators with astronomic period, new entropy-based tests of uniformity, gamma variate generation, results on the GLD, and variance reduction techniques. GPSS/PC is an interactive implementation of GPSS for the IBM-PC compatible family of microcomputers. The disk accompanying Modern Statistical, Systems, and GPSS Simulation contains the limited educational version of GPSS/PC with many illustrative examples discussed in the text.

The Frontiers Of Modern Statistical Inference Procedures

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Author : Edward J. Dudewicz
language : en
Publisher:
Release Date : 1985

The Frontiers Of Modern Statistical Inference Procedures written by Edward J. Dudewicz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.

The Frontiers Of Modern Statistical Inference Procedures Ii

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Author : Eve Bofinger
language : en
Publisher: American Sciences Press, Incorporated
Release Date : 1992

The Frontiers Of Modern Statistical Inference Procedures Ii written by Eve Bofinger and has been published by American Sciences Press, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.

The Frontiers Of Statistical Computation Simulation Modeling

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Author : Peter R. Nelson
language : en
Publisher:
Release Date : 1991

The Frontiers Of Statistical Computation Simulation Modeling written by Peter R. Nelson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.

Basics And Trends In Sensitivity Analysis Theory And Practice In R

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Author : Sébastien Da Veiga
language : en
Publisher: SIAM
Release Date : 2021-10-14

Basics And Trends In Sensitivity Analysis Theory And Practice In R written by Sébastien Da Veiga and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Mathematics categories.

This book provides an overview of global sensitivity analysis methods and algorithms, including their theoretical basis and mathematical properties. The authors use a practical point of view and real case studies as well as numerous examples, and applications of the different approaches are illustrated throughout using R code to explain their usage and usefulness in practice. Basics and Trends in Sensitivity Analysis: Theory and Practice in R covers a lot of material, including theoretical aspects of Sobol’ indices as well as sampling-based formulas, spectral methods, and metamodel-based approaches for estimation purposes; screening techniques devoted to identifying influential and noninfluential inputs; variance-based measures when model inputs are statistically dependent (and several other approaches that go beyond variance-based sensitivity measures); and a case study in R related to a COVID-19 epidemic model where the full workflow of sensitivity analysis combining several techniques is presented. This book is intended for engineers, researchers, and undergraduate students who use complex numerical models and have an interest in sensitivity analysis techniques and is appropriate for anyone with a solid mathematical background in basic statistical and probability theories who develops and uses numerical models in all scientific and engineering domains.

Current Index To Statistics Applications Methods And Theory

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Author :
language : en
Publisher:
Release Date : 1994

Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematical statistics categories.

The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.

Beginning R

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Author : Larry Pace
language : en
Publisher: Apress
Release Date : 2015-10-23

Beginning R written by Larry Pace and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-23 with Computers categories.

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What You Will Learn: How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques