Time series and forecasting : an applied approach / Bruce L. Bowerman, Richard T. O'Connell.

Por:

Bowerman, Bruce L

Colaborador(es):

O'Connell, Richard T [coaut.]

Tipo de material: Texto

TextoIdioma: Inglés Detalles de publicación: N. Scituate, Mass. : Duxbury, 1979Descripción: xiii, 481 p. : il., gráf. ; 24 cmISBN:

9780878722181
0878722181

Otro título:

An applied approach

Tema(s):

Clasificación LoC:

QA280 .B6 1979

Contenidos parciales:

Pt. 1. Forecasting and multiple regression analysis.-- 1. An introduction to time series, forecasting, and multiple regression analysis.-- 2. Building a multiple regression model.-- Pt. 2. Forecasting time series described by trend and irregular components.-- 3. An introduction to exponential smoothing.-- 4. Double exponential smoothing.-- 5. Triple exponential smoothing.-- Pt. 3. Forecasting seasonal time series.-- 6. Forecasting using the multiplicative decomposition method.-- 7. Winters' method.-- 8. Forecasting time series with additive seasonal variation.-- 9. Further topics concerning seasonal variation.-- Pt. 4. The Box-Jenkins methodology.-- 10. The basic steps of the Box-Jenkins methodology.-- 11. Common models of the Box-Jenkins methodology.-- 12. Nite's rest inc. A Box-Jenkins case study.

Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura topográfica	Copia número	Estado	Fecha de vencimiento	Código de barras
01-Préstamo Interno (Libros)	Biblioteca de la Unidad Académica de Ingeniería Pesquera	Acervo General	QA280 .B6 1979	V. 1 Ej. 01	Disponible		177506

Incluye referencias bibliográficas.

Pt. 1. Forecasting and multiple regression analysis.--
1. An introduction to time series, forecasting, and multiple regression analysis.-- 2. Building a multiple regression model.--

Pt. 2. Forecasting time series described by trend and irregular components.--
3. An introduction to exponential smoothing.-- 4. Double exponential smoothing.-- 5. Triple exponential smoothing.--

Pt. 3. Forecasting seasonal time series.--
6. Forecasting using the multiplicative decomposition method.-- 7. Winters' method.-- 8. Forecasting time series with additive seasonal variation.-- 9. Further topics concerning seasonal variation.--

Pt. 4. The Box-Jenkins methodology.--
10. The basic steps of the Box-Jenkins methodology.-- 11. Common models of the Box-Jenkins methodology.-- 12. Nite's rest inc. A Box-Jenkins case study.

Área de Ciencias Básicas e Ingenierías