| 000 | 01834aam a22003257i 4500 | ||
|---|---|---|---|
| 001 | 010028864 | ||
| 003 | EG-GaU | ||
| 005 | 20220306120217.0 | ||
| 008 | 940214s1994 enka || 001 ||eng | ||
| 020 | _a9780070349131 | ||
| 020 | _a0070349134 : | ||
| 040 |
_aUk _cUk _dEG-GaU |
||
| 082 | 0 | 4 |
_a519.55 _222 _bG.P.I |
| 100 | 1 | 0 |
_aGaynor, Patricia E. _eauthor _925484 |
| 245 | 1 | 0 |
_aIntroduction to time-series modeling and forecasting in business and economics / _cPatricia E. Gaynor, Rickey C. Kirkpatrick. |
| 264 | 1 |
_aNew York ; _aLondon : _bMcGraw-Hill, _cc1994. |
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| 264 | 4 | _cc1994. | |
| 300 |
_axxi,625 pages : _billustrations ; _c26 cm. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 505 | 0 | _aPart 1: Introduction and data management; introduction to forecasting and time-series analysis; building tools for time series analysis - describing an dtransforming data. Part 2: Modelling and forecasting trend; modelling trend using regression analysis; updating regression analysis with exponential smoothing. Part 3: Modelling and forecasting trend and seasonality; the decomposition model; updating seasonal models with winters' exponential smoothing. Part 4: The Box Jenkins procedure; the Box Jenkins methodology - seasonal models. Part 5: Econometric and other modelling procedures; multiple regression in time-series analysis - the causal model; combining forecast methodologies and fine tuning the forecast - judgmental factors in forecasting. | |
| 650 | 0 |
_aTime-series analysis. _91194 |
|
| 650 | 0 |
_aSocial sciences _xStatistical methods. _925342 |
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| 650 | 0 |
_aBusiness forecasting. _91238 |
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| 650 | 0 | _aEconomic forecasting. | |
| 653 | 1 | _aStatistical analysis | |
| 700 | 1 |
_aKirkpatrick, Rickey C. _eauthor _925485 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c4175 _d4175 |
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