Introduction to time series analysis and forecasting, Montgomery, Douglas C. (georgia Institute Of Technology) Kulahci, Murat (technical University Of Denmark) Jennings, Cheryl L. (bank Of America, Usa)

Автор: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul
Название: Introduction to Time Series Analysis and Forecasting
ISBN: 1118745116 ISBN-13(EAN): 9781118745113
Издательство: Wiley
Цена: 121390 T
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Описание: Praise for the First Edition " [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics.

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
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Цена: 55890.00 T
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Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 73920.00 T
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Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Автор: Giuseppe Da Prato
Название: An Introduction to Infinite-Dimensional Analysis
ISBN: 3642421687 ISBN-13(EAN): 9783642421686
Издательство: Springer
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Цена: 46570.00 T
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Описание: Based on well-known lectures given at Scuola Normale Superiore in Pisa, this book introduces analysis in a separable Hilbert space of infinite dimension. It starts from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way.

Автор: Maurizio Petrelli
Название: Introduction to Python in Earth Science Data Analysis
ISBN: 3030780546 ISBN-13(EAN): 9783030780548
Издательство: Springer
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Цена: 50810.00 T
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Описание: This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences.

Автор: Bacci Silvia, Chiandotto Bruno
Название: Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
ISBN: 1032091754 ISBN-13(EAN): 9781032091754
Издательство: Taylor&Francis
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Цена: 50010.00 T
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Описание: This book provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference.

Автор: Box George E. P.
Название: Time Series Analysis
ISBN: 1118675029 ISBN-13(EAN): 9781118675021
Издательство: Wiley
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Цена: 134060.00 T
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Описание: Praise for the Fourth Edition The book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control.

Автор: Jan G. De Gooijer
Название: Elements of Nonlinear Time Series Analysis and Forecasting
ISBN: 3319432516 ISBN-13(EAN): 9783319432519
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications.

Автор: Ignacio Rojas; H?ctor Pomares; Olga Valenzuela
Название: Advances in Time Series Analysis and Forecasting
ISBN: 3319557882 ISBN-13(EAN): 9783319557885
Издательство: Springer
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Цена: 135090.00 T
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Описание: Preface.- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies.- Scientific Contributions.- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series.- Scientific Contributions.- Part III: Linear and Non-linear Time Series Models.- Scientific Contributions.- Part IV: Advanced Time Series Forecasting Methods.- Scientific Contributions.- Part V: Applications in Time Series Analysis and Forecasting.- Scientific Contributions.- Author Index.

Автор: Ignacio Rojas; H?ctor Pomares
Название: Time Series Analysis and Forecasting
ISBN: 3319287230 ISBN-13(EAN): 9783319287232
Издательство: Springer
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Цена: 135090.00 T
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Описание:

Main Topics:

Автор: Ross, Sheldon M.
Название: Introduction To Probability And Statistics For Engineers And Scientists
ISBN: 0128243465 ISBN-13(EAN): 9780128243466
Издательство: Elsevier Science
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Цена: 110030.00 T
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Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.

Автор: Box G. E. P.
Название: Time Series Analysis: Forecasting and Control, 4th Edition
ISBN: 0470272848 ISBN-13(EAN): 9780470272848
Издательство: Wiley
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Цена: 123550.00 T
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Описание: This is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models.

Автор: Yaffee, Robert Alan
Название: An Introduction to Time Series Analysis and Forecasting
ISBN: 0127678700 ISBN-13(EAN): 9780127678702
Издательство: Elsevier Science
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Цена: 107790.00 T
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