Komputasi Statistika
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Komputasi Statistika
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Author : Eni Sumarminingsih
language : id
Publisher: Universitas Brawijaya Press
Release Date : 2022-11-30
Komputasi Statistika written by Eni Sumarminingsih and has been published by Universitas Brawijaya Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Mathematics categories.
Dalam buku ini para penulis memberikan bahasan tentang pengantar R, pengantar komputasi statistika, pendekatan analisis data, dan pembahasan teori secukupnya yang disertai dengan coding R dan contoh-contohnya. Isi buku ini meliputi manajemen data di R, fungsi-fungsi matematika dan statistika, sebaran diskret dan kontinu, hipotesis statistika, analisis varian, analisis regresi, pengujian hipotesis, regresi logistik, analisis time series, dan Looping kekonvergenan. Secara umum tidak ada syarat khusus untuk membaca buku ini, tetapi disarankan para pembaca telah memiliki pengetahuan matematika dan komputasi dasar serta bersemangat dalam mempelajari program open source R. Detail dari buku ini ditulis secara sistematis sehingga sangat membantu dan mempermudah para pengguna statistika untuk memahaminya, baik dari segi konsep, teori maupun aplikasi khususnya pada software R. Diharapkan buku ini dapat memberikan manfaat bagi para mahasiswa, dosen, peneliti dan siapa saja yang mempunyai perhatian terhadap perkembangan komputasi statistika dan analisis statistika.
Handbook Of Computational Statistics
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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-06
Handbook Of Computational Statistics written by James E. Gentle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-06 with Computers categories.
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
Computational Statistics
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Author : Geof H. Givens
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-06
Computational Statistics written by Geof H. Givens and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-06 with Mathematics categories.
This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.
Data Structures For Computational Statistics
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Author : Sigbert Klinke
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Data Structures For Computational Statistics written by Sigbert Klinke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995).
Computational Statistics Handbook With Matlab
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Author : Wendy L. Martinez
language : en
Publisher: CRC Press
Release Date : 2015-12-16
Computational Statistics Handbook With Matlab written by Wendy L. Martinez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-16 with Business & Economics categories.
A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB, Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the i
Elements Of Computational Statistics
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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-08-12
Elements Of Computational Statistics written by James E. Gentle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-12 with Computers categories.
Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books
Introductory Statistics With R
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Author : Peter Dalgaard
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-27
Introductory Statistics With R written by Peter Dalgaard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-27 with Mathematics categories.
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Computational Methods In Statistics And Econometrics
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Author : Hisashi Tanizaki
language : en
Publisher: CRC Press
Release Date : 2004-01-21
Computational Methods In Statistics And Econometrics written by Hisashi Tanizaki and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-21 with Mathematics categories.
Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. The author explores applications of Monte Carlo methods in Bayesian estimation, state space modeling, and bias correction of ordinary least squares in autoregressive models. The book offers straightforward explanations of mathematical concepts, hundreds of figures and tables, and a range of empirical examples. A CD-ROM packaged with the book contains all of the source codes used in the text.
Statistics Essentials Of Statistics For Business And Economics
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Author : Vierkury Metyopandi, S.Si., M.M. ; Dr. Umu Khouroh, S.E., M.Si. ; Angga Dwi Mulyanto, S.Si., M.Si. ; Ainaya Kafila Almayda
language : en
Publisher: PENERBIT KBM INDONESIA
Release Date : 2024-06-28
Statistics Essentials Of Statistics For Business And Economics written by Vierkury Metyopandi, S.Si., M.M. ; Dr. Umu Khouroh, S.E., M.Si. ; Angga Dwi Mulyanto, S.Si., M.Si. ; Ainaya Kafila Almayda and has been published by PENERBIT KBM INDONESIA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Antiques & Collectibles categories.
Dalam buku “STATISTICS: Essentials of Statistics for Business and Economics”, penulisnya, Vierkury Metyopandi, S.Si., M.M., dkk berasal dari akademisi dengan pengalaman mengajar di bidang Manajemen Keuangan di Fakultas Ekonomi dan Bisnis dan bidang Statistika pada perguruan tinggi masing-masing, serta menggabungkan pengetahuan akademis yang luas dengan pengalaman praktisnya sebagai praktisi. Ditujukan sebagai bahan ajar atau acuan untuk para mahasiswa dan praktisi di lapangan, buku ini menyajikan konsep-konsep statistika yang penting dengan cara yang jelas dan terstruktur. Dengan latar belakang pendidikan penulis yang mencakup bidang Statistika dan bidang Manajemen, penulis mampu menyajikan materi secara komprehensif dan mendalam, sambil mempertimbangkan relevansinya dalam konteks dunia bisnis dan ekonomi. Melalui buku ini, pembaca akan dibawa dalam perjalanan yang mendalam ke dalam konsep-konsep dasar statistika, mulai dari pengumpulan dan penyajian data hingga analisis statistik yang lebih kompleks. Dengan menggunakan pendekatan yang praktis dan aplikatif, penulis membantu pembaca memahami bagaimana statistika dapat digunakan untuk mengambil keputusan yang tepat dalam berbagai situasi bisnis dan ekonomi. Buku ini juga dilengkapi dengan contoh-contoh kasus nyata dan latihan-latihan yang dirancang untuk membantu pembaca menguasai konsep-konsep yang diajarkan. Dengan demikian, “STATISTICS: Essentials of Statistics for Business and Economics” tidak hanya menjadi sumber pengetahuan yang berharga, tetapi juga menjadi panduan praktis yang dapat membantu pembaca mengembangkan keterampilan analitis dan pengambilan keputusan yang efektif.
Using R For Introductory Statistics
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Author : John Verzani
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Using R For Introductory Statistics written by John Verzani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Computers categories.
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.