This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of da...Lasīt vairāk
This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of da...Lasīt vairāk
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness...Lasīt vairāk
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness...Lasīt vairāk
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical learning concepts and practical aspects, each fur...Lasīt vairāk
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical learning concepts and practical aspects, each fur...Lasīt vairāk
Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics...Lasīt vairāk
Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics...Lasīt vairāk
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including A...Lasīt vairāk
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including A...Lasīt vairāk
This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces...Lasīt vairāk
This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces...Lasīt vairāk
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniqu...Lasīt vairāk
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrary probability distributions, and tailored techniqu...Lasīt vairāk
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical...Lasīt vairāk
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical...Lasīt vairāk
Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen, Ludger Overbeck
Sērija : Statistics and Computing
(Izdošanas datums: 02-Aug-2017, PDF+DRM, Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, ISBN-13: 9783662544860)
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based o...Lasīt vairāk
Wolfgang Karl Hardle, Cathy Yi-Hsuan Chen, Ludger Overbeck
Sērija : Statistics and Computing
(Izdošanas datums: 02-Aug-2017, EPUB+DRM, Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, ISBN-13: 9783662544860)
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based o...Lasīt vairāk
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from surv...Lasīt vairāk
Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet
Sērija : Statistics and Computing
(Izdošanas datums: 13-May-2014, PDF+DRM, Izdevniecība: Springer-Verlag New York Inc., ISBN-13: 9781461490203)
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can ser...Lasīt vairāk
