| 000 | 01576nam a2200289Ia 4500 | ||
|---|---|---|---|
| 001 | 355583 | ||
| 003 | 0000000000 | ||
| 005 | 20211104093408.0 | ||
| 008 | 181226s2019 mau 000 0 eng | ||
| 010 | _a2018968317 | ||
| 020 | _a9780128131176 | ||
| 035 | _a20791080 | ||
| 040 |
_aDLC _cDLC _erda |
||
| 050 |
_aQA 280 _b.M624 2019 |
||
| 100 |
_aMills, Terence C. _9128247 |
||
| 245 | 0 |
_aApplied time series analysis : _ba practical guide to modeling and forecasting / _cTerence C. Mills. |
|
| 264 |
_aCambridge, MA : _bElsevier, _cc2019. |
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| 300 |
_axiii, 339 pages _c23 cm. |
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| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 520 | _aWritten for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others. --Amazon.com | ||
| 650 |
_aMathematical statistics. _2sears |
||
| 650 |
_aTime-series analysis. _2sears _929980 |
||
| 942 | _cCIR | ||
| 999 |
_c91920 _d91920 |
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