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Software Source Code: Statistical Modeling, Debabrata Samanta, Debanjan Konar, Raghavendra Rao Althar, Siddhartha Bhattacharyya


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Автор: Debabrata Samanta, Debanjan Konar, Raghavendra Rao Althar, Siddhartha Bhattacharyya
Название:  Software Source Code: Statistical Modeling
ISBN: 9783110703535
Издательство: Walter de Gruyter
Классификация: ISBN-10: 311070353X
Обложка/Формат: Ebook
Страницы: 358
Вес: 0.00 кг.
Дата издания: 19.07.2021
Серия: Computing & IT
Язык: English
Читательская аудитория: General/trade
Ключевые слова: Computer programming / software development,Computer science,Databases,Software Engineering, COMPUTERS / Databases / Data Mining,COMPUTERS / Information Theory,COMPUTERS / Programming / General,COMPUTERS / Software Development & Engineering / General
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Поставляется из: Германии
Описание:

This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.



The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Objective Proficiency Second edition Student`s Book with answers with Downloadable Software

Автор: Capel Annette, Sharp Wendy
Название: Objective Proficiency Second edition Student`s Book with answers with Downloadable Software
ISBN: 1107646375 ISBN-13(EAN): 9781107646377
Издательство: Cambridge University Press
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Цена: 54640.00 T
Наличие на складе: Есть
Описание: Objective Proficiency Second edition provides official preparation for the revised 2013 Cambridge English: Proficiency exam, also known as Certificate of Proficiency in English (CPE).

Introduction to finite elements in engineering

Автор: Chandrupatla, Tirupathi, Belegundu, Ashok
Название: Introduction to finite elements in engineering
ISBN: 1108841414 ISBN-13(EAN): 9781108841412
Издательство: Cambridge Academ
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thoroughly updated with improved pedagogy, the fifth edition provides senior undergraduate and graduate students with a clear, comprehensive introduction to the field. Features enhanced coverage of introductory topics, over thirty additional solved problems; downloadable Matlab, Python, C, and Javascript code; and solutions for instructors.

Statistical testing with jamovi and JASP open source software Psychology

Автор: Davis Cole
Название: Statistical testing with jamovi and JASP open source software Psychology
ISBN: 1916477925 ISBN-13(EAN): 9781916477926
Издательство: Неизвестно
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Цена: 59680.00 T
Наличие на складе: Невозможна поставка.

Open source software for statistical analysis of big data

Название: Open source software for statistical analysis of big data
ISBN: 1799827690 ISBN-13(EAN): 9781799827696
Издательство: Mare Nostrum (Eurospan)
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Цена: 152460.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, such as cluster analysis, time series forecasting, and machine learning.

Open source software for statistical analysis of big data

Название: Open source software for statistical analysis of big data
ISBN: 1799827682 ISBN-13(EAN): 9781799827689
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 201430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning.

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

Автор: K. Sreenivasa Rao; N. P. Narendra
Название: Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
ISBN: 3030027589 ISBN-13(EAN): 9783030027582
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a statistical parametric speech synthesis (SPSS) framework for developing a speech synthesis system where the desired speech is generated from the parameters of vocal tract and excitation source. Throughout the book, the authors discuss novel source modeling techniques to enhance the naturalness and overall intelligibility of the SPSS system. This book provides several important methods and models for generating the excitation source parameters for enhancing the overall quality of synthesized speech. The contents of the book are useful for both researchers and system developers. For researchers, the book is useful for knowing the current state-of-the-art excitation source models for SPSS and further refining the source models to incorporate the realistic semantics present in the text. For system developers, the book is useful to integrate the sophisticated excitation source models mentioned to the latest models of mobile/smart phones.

Statistical Testing with Jamovi and Jasp Open Source Software Criminology

Автор: Davis Cole
Название: Statistical Testing with Jamovi and Jasp Open Source Software Criminology
ISBN: 191647795X ISBN-13(EAN): 9781916477957
Издательство: Неизвестно
Рейтинг:
Цена: 113570.00 T
Наличие на складе: Невозможна поставка.
Описание:

Features

  • Worked examples from Criminology

  • Clearly written, without mathematical formulae

  • Well-structured, for beginners and intermediate readers

  • Comprehensive chapter on categorical analysis
    - not just 'Chi squared'

  • Effect sizes and confidence intervals

  • Clear explanation of factor analysis

  • Covers MANOVA, logistic regression and survival analysis

  • Introduces Bayesian statistics

  • Reproduces a well-received short chapter on making presentations

  • Data sets and case studies on the website

Statistical testing with jamovi and JASP open source software Sport

Автор: Davis Cole
Название: Statistical testing with jamovi and JASP open source software Sport
ISBN: 1916063691 ISBN-13(EAN): 9781916063693
Издательство: Неизвестно
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Цена: 113570.00 T
Наличие на складе: Нет в наличии.

Statistical testing with jamovi and jasp open source software: sociology

Название: Statistical testing with jamovi and jasp open source software: sociology
ISBN: 1916477917 ISBN-13(EAN): 9781916477919
Издательство: Неизвестно
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Цена: 113570.00 T
Наличие на складе: Нет в наличии.

Statistical testing with jamovi and JASP open source software Education

Автор: Davis Cole
Название: Statistical testing with jamovi and JASP open source software Education
ISBN: 1916063632 ISBN-13(EAN): 9781916063631
Издательство: Неизвестно
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Цена: 113570.00 T
Наличие на складе: Нет в наличии.

Statistical Analysis with Missing Data, Third Edit ion

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
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Цена: 84430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.


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