1.

Record Nr.

UNISA990000832220203316

Autore

OTTO, Walter Friedrich

Titolo

Il poeta e gli antichi dei / Walter Friedrich Otto

Pubbl/distr/stampa

Napoli, : Guida, [1991]

ISBN

88-7835-080-X

Descrizione fisica

151 p. ; 23 cm

Collana

Il fiore azzurro ; 13.

Disciplina

292

Collocazione

II.2. 4168(V C COLL.116 13)

XV.18.A. 1018 (FDC OTT)

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA990008994840403321

Titolo

Journal of the italian statistical society

Pubbl/distr/stampa

Pisa, : Giardini editori

ISSN

1121-9130

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico



3.

Record Nr.

UNINA9911019644303321

Autore

Chase Charles

Titolo

Demand-driven forecasting [[electronic resource] ] : a structured approach to forecasting / / Charles Chase

Pubbl/distr/stampa

Hoboken, N.J., : John Wiley & Sons, 2009

ISBN

1-119-20361-9

1-282-36930-X

9786612369308

0-470-53099-5

Descrizione fisica

1 online resource (291 p.)

Collana

Wiley & SAS Business series

Disciplina

658.40355

Soggetti

Economic forecasting

Business forecasting

Forecasting

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Demystifying forecasting : myths versus reality -- What is demand-driven forecasting? -- Overview of forecasting methods -- Measuring forecast performance -- Quantitative forecasting methods using time series data -- Quantitative forecasting methods using causal data -- Weighted combined forecasting methods -- Sensing, shaping, and linking demand to supply : a case study using MTCA -- Strategic value assessment : assessing the readiness of your demand forecasting process.

Sommario/riassunto

Praise for Demand-Driven Forecasting A Structured Approach to Forecasting ""There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best dema