Count Time Series, 

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 121440.00 T
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Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

Автор: Beeler Robert A.
Название: How to Count
ISBN: 3319355082 ISBN-13(EAN): 9783319355085
Издательство: Springer
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Цена: 41920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a self-contained resource for upper undergraduate courses in combinatorics, this text emphasizes computation, problem solving, and proof technique. When possible, the book introduces concepts using combinatorial methods (as opposed to induction or algebra) to prove identities.

Автор: Rakhee Kulshrestha
Название: Mathematical modeling and computation of real-time problems
ISBN: 0367517434 ISBN-13(EAN): 9780367517434
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems.

Автор: Hilbe
Название: Modeling Count Data
ISBN: 1107611253 ISBN-13(EAN): 9781107611252
Издательство: Cambridge Academ
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Цена: 40120.00 T
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Описание: Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes.

Автор: Tang, Wan (tulane University, New Orleans, La) He, Hua (tulane University) Tu, Xin M. (university Of California-san Diego)
Название: Applied categorical and count data analysis
ISBN: 0367568276 ISBN-13(EAN): 9780367568276
Издательство: Taylor&Francis
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Цена: 81650.00 T
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Описание: This second edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. It covers classic concepts and popular topics, such as logistic regression models, along with modern areas including models for zero-modified count outcomes.

Автор: Selch
Название: A Multivariate Claim Count Model for Applications in Insurance
ISBN: 3319928678 ISBN-13(EAN): 9783319928678
Издательство: Springer
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Цена: 46570.00 T
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Автор: Rainer Winkelmann
Название: Econometric Analysis of Count Data
ISBN: 3642096409 ISBN-13(EAN): 9783642096402
Издательство: Springer
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Цена: 111790.00 T
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Описание: The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling.

Автор: Jianguo Sun; Xingqiu Zhao
Название: Statistical Analysis of Panel Count Data
ISBN: 1493942077 ISBN-13(EAN): 9781493942077
Издательство: Springer
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Цена: 88500.00 T
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Описание: The first comprehensive examination of an emerging topic, this text complements existing resources on recurrent event data, and includes detailed treatment of regression, parametric and non-parametric methodologies, and mathematical calculations.

Автор: Friendly, Michael Meyer, David
Название: Discrete data analysis with r
ISBN: 149872583X ISBN-13(EAN): 9781498725835
Издательство: Taylor&Francis
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Цена: 93910.00 T
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Автор: Daniela Anna Selch; Matthias Scherer
Название: A Multivariate Claim Count Model for Applications in Insurance
ISBN: 3030065375 ISBN-13(EAN): 9783030065379
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This monograph presents a time-dynamic model for multivariate claim counts in actuarial applications.Inspired by real-world claim arrivals, the model balances interesting stylized facts (such as dependence across the components, over-dispersion and the clustering of claims) with a high level of mathematical tractability (including estimation, sampling and convergence results for large portfolios) and can thus be applied in various contexts (such as risk management and pricing of (re-)insurance contracts). The authors provide a detailed analysis of the proposed probabilistic model, discussing its relation to the existing literature, its statistical properties, different estimation strategies as well as possible applications and extensions. Actuaries and researchers working in risk management and premium pricing will find this book particularly interesting. Graduate-level probability theory, stochastic analysis and statistics are required.

Автор: Beeler Robert
Название: How to Count
ISBN: 331913843X ISBN-13(EAN): 9783319138435
Издательство: Springer
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Цена: 41920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How to Count