ISBN: 9780199242030 - periodic time series models (advanced texts in econometrics) (7 Ergebnisse)

TAPA BLANDA. Zustand: New.

Zustand: New. This up-to-date study of the use of periodic models in the description and forecasting of economic data incorporates developments in the field. The authors investigate such areas as seasonal time series; periodic time series models; periodic integration; and periodic co integration. Series: Advanced Texts in Econometrics. Num Pages: 164 pages, Figures Tables. BIC Classification: KCH; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 9. Weight in Grams: 248. . 2004. Paperback. . . . . …

Zustand: New.

Paperback. Zustand: New. This book considers periodic time series models for seasonal data, characterized by parameters that differ across the seasons, and focuses on their usefulness for out-of-sample forecasting. Providing an up-to-date survey of the recent developments in periodic time series, the book presents a large number of empirical results.The first part of the book deals with model selection, diagnostic checking and forecasting of univariate periodic autoregressive models. Tests for periodic integration, are discussed, and an extensive discussion of the role of deterministic regressors in testing for periodic integration and in forecasting is provided. The second part discusses multivariate periodic autoregressive models. It provides an overview of periodic cointegration models, as these are the most relevant. This overview contains single-equation type tests and a full-system approach based on generalized method of moments.All methods are illustrated with extensive examples, and the book will be of interest to advanced graduate students and researchers in econometrics, as well as practitioners looking for an understanding of how to approach seasonal data. …

Zustand: As New. Unread book in perfect condition.

Zustand: New. This up-to-date study of the use of periodic models in the description and forecasting of economic data incorporates developments in the field. The authors investigate such areas as seasonal time series; periodic time series models; periodic integration; and periodic co integration. Series: Advanced Texts in Econometrics. Num Pages: 164 pages, Figures Tables. BIC Classification: KCH; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 9. Weight in Grams: 248. . 2004. Paperback. . . . . Books ship from the US and Ireland. …

Paperback. Zustand: New. This book considers periodic time series models for seasonal data, characterized by parameters that differ across the seasons, and focuses on their usefulness for out-of-sample forecasting. Providing an up-to-date survey of the recent developments in periodic time series, the book presents a large number of empirical results.The first part of the book deals with model selection, diagnostic checking and forecasting of univariate periodic autoregressive models. Tests for periodic integration, are discussed, and an extensive discussion of the role of deterministic regressors in testing for periodic integration and in forecasting is provided. The second part discusses multivariate periodic autoregressive models. It provides an overview of periodic cointegration models, as these are the most relevant. This overview contains single-equation type tests and a full-system approach based on generalized method of moments.All methods are illustrated with extensive examples, and the book will be of interest to advanced graduate students and researchers in econometrics, as well as practitioners looking for an understanding of how to approach seasonal data. …