Forecasting with adaptive extended exponential smoothing
Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a tim...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mentzer, John T. [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
1988 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Academy of Marketing Science 1988 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Journal of the Academy of Marketing Science - Springer-Verlag, 1973, 16(1988), 3-4 vom: Sept., Seite 62-70 |
|---|---|
| Übergeordnetes Werk: |
volume:16 ; year:1988 ; number:3-4 ; month:09 ; pages:62-70 |
| Links: |
|---|
| DOI / URN: |
10.1007/BF02723361 |
|---|
| Katalog-ID: |
OLC206058938X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC206058938X | ||
| 003 | DE-627 | ||
| 005 | 20230304082711.0 | ||
| 007 | tu | ||
| 008 | 200820s1988 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/BF02723361 |2 doi | |
| 035 | |a (DE-627)OLC206058938X | ||
| 035 | |a (DE-He213)BF02723361-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 330 |q VZ |
| 084 | |a 3,2 |2 ssgn | ||
| 100 | 1 | |a Mentzer, John T. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Forecasting with adaptive extended exponential smoothing |
| 264 | 1 | |c 1988 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Academy of Marketing Science 1988 | ||
| 520 | |a Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. | ||
| 650 | 4 | |a Exponential Smoothing | |
| 650 | 4 | |a Forecast Manager | |
| 650 | 4 | |a Forecast Technique | |
| 650 | 4 | |a Weighted Moving Average | |
| 650 | 4 | |a Adaptive Smoothing | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of the Academy of Marketing Science |d Springer-Verlag, 1973 |g 16(1988), 3-4 vom: Sept., Seite 62-70 |w (DE-627)182223736 |w (DE-600)1187865-4 |w (DE-576)040097765 |x 0092-0703 |7 nnns |
| 773 | 1 | 8 | |g volume:16 |g year:1988 |g number:3-4 |g month:09 |g pages:62-70 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/BF02723361 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-WIW | ||
| 912 | |a GBV_ILN_26 | ||
| 912 | |a GBV_ILN_32 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4029 | ||
| 912 | |a GBV_ILN_4311 | ||
| 951 | |a AR | ||
| 952 | |d 16 |j 1988 |e 3-4 |c 09 |h 62-70 | ||
| author_variant |
j t m jt jtm |
|---|---|
| matchkey_str |
article:00920703:1988----::oeatnwtaatvetneepn |
| hierarchy_sort_str |
1988 |
| publishDate |
1988 |
| allfields |
10.1007/BF02723361 doi (DE-627)OLC206058938X (DE-He213)BF02723361-p DE-627 ger DE-627 rakwb eng 330 VZ 3,2 ssgn Mentzer, John T. verfasserin aut Forecasting with adaptive extended exponential smoothing 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Academy of Marketing Science 1988 Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing Enthalten in Journal of the Academy of Marketing Science Springer-Verlag, 1973 16(1988), 3-4 vom: Sept., Seite 62-70 (DE-627)182223736 (DE-600)1187865-4 (DE-576)040097765 0092-0703 nnns volume:16 year:1988 number:3-4 month:09 pages:62-70 https://doi.org/10.1007/BF02723361 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_32 GBV_ILN_70 GBV_ILN_110 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4311 AR 16 1988 3-4 09 62-70 |
| spelling |
10.1007/BF02723361 doi (DE-627)OLC206058938X (DE-He213)BF02723361-p DE-627 ger DE-627 rakwb eng 330 VZ 3,2 ssgn Mentzer, John T. verfasserin aut Forecasting with adaptive extended exponential smoothing 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Academy of Marketing Science 1988 Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing Enthalten in Journal of the Academy of Marketing Science Springer-Verlag, 1973 16(1988), 3-4 vom: Sept., Seite 62-70 (DE-627)182223736 (DE-600)1187865-4 (DE-576)040097765 0092-0703 nnns volume:16 year:1988 number:3-4 month:09 pages:62-70 https://doi.org/10.1007/BF02723361 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_32 GBV_ILN_70 GBV_ILN_110 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4311 AR 16 1988 3-4 09 62-70 |
| allfields_unstemmed |
10.1007/BF02723361 doi (DE-627)OLC206058938X (DE-He213)BF02723361-p DE-627 ger DE-627 rakwb eng 330 VZ 3,2 ssgn Mentzer, John T. verfasserin aut Forecasting with adaptive extended exponential smoothing 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Academy of Marketing Science 1988 Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing Enthalten in Journal of the Academy of Marketing Science Springer-Verlag, 1973 16(1988), 3-4 vom: Sept., Seite 62-70 (DE-627)182223736 (DE-600)1187865-4 (DE-576)040097765 0092-0703 nnns volume:16 year:1988 number:3-4 month:09 pages:62-70 https://doi.org/10.1007/BF02723361 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_32 GBV_ILN_70 GBV_ILN_110 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4311 AR 16 1988 3-4 09 62-70 |
| allfieldsGer |
10.1007/BF02723361 doi (DE-627)OLC206058938X (DE-He213)BF02723361-p DE-627 ger DE-627 rakwb eng 330 VZ 3,2 ssgn Mentzer, John T. verfasserin aut Forecasting with adaptive extended exponential smoothing 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Academy of Marketing Science 1988 Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing Enthalten in Journal of the Academy of Marketing Science Springer-Verlag, 1973 16(1988), 3-4 vom: Sept., Seite 62-70 (DE-627)182223736 (DE-600)1187865-4 (DE-576)040097765 0092-0703 nnns volume:16 year:1988 number:3-4 month:09 pages:62-70 https://doi.org/10.1007/BF02723361 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_32 GBV_ILN_70 GBV_ILN_110 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4311 AR 16 1988 3-4 09 62-70 |
| allfieldsSound |
10.1007/BF02723361 doi (DE-627)OLC206058938X (DE-He213)BF02723361-p DE-627 ger DE-627 rakwb eng 330 VZ 3,2 ssgn Mentzer, John T. verfasserin aut Forecasting with adaptive extended exponential smoothing 1988 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Academy of Marketing Science 1988 Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing Enthalten in Journal of the Academy of Marketing Science Springer-Verlag, 1973 16(1988), 3-4 vom: Sept., Seite 62-70 (DE-627)182223736 (DE-600)1187865-4 (DE-576)040097765 0092-0703 nnns volume:16 year:1988 number:3-4 month:09 pages:62-70 https://doi.org/10.1007/BF02723361 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_32 GBV_ILN_70 GBV_ILN_110 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4311 AR 16 1988 3-4 09 62-70 |
| language |
English |
| source |
Enthalten in Journal of the Academy of Marketing Science 16(1988), 3-4 vom: Sept., Seite 62-70 volume:16 year:1988 number:3-4 month:09 pages:62-70 |
| sourceStr |
Enthalten in Journal of the Academy of Marketing Science 16(1988), 3-4 vom: Sept., Seite 62-70 volume:16 year:1988 number:3-4 month:09 pages:62-70 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing |
| dewey-raw |
330 |
| isfreeaccess_bool |
false |
| container_title |
Journal of the Academy of Marketing Science |
| authorswithroles_txt_mv |
Mentzer, John T. @@aut@@ |
| publishDateDaySort_date |
1988-09-01T00:00:00Z |
| hierarchy_top_id |
182223736 |
| dewey-sort |
3330 |
| id |
OLC206058938X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC206058938X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230304082711.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s1988 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/BF02723361</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC206058938X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)BF02723361-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">330</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">3,2</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mentzer, John T.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Forecasting with adaptive extended exponential smoothing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1988</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Academy of Marketing Science 1988</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exponential Smoothing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Forecast Manager</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Forecast Technique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Weighted Moving Average</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Adaptive Smoothing</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of the Academy of Marketing Science</subfield><subfield code="d">Springer-Verlag, 1973</subfield><subfield code="g">16(1988), 3-4 vom: Sept., Seite 62-70</subfield><subfield code="w">(DE-627)182223736</subfield><subfield code="w">(DE-600)1187865-4</subfield><subfield code="w">(DE-576)040097765</subfield><subfield code="x">0092-0703</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:1988</subfield><subfield code="g">number:3-4</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:62-70</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/BF02723361</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4311</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">1988</subfield><subfield code="e">3-4</subfield><subfield code="c">09</subfield><subfield code="h">62-70</subfield></datafield></record></collection>
|
| author |
Mentzer, John T. |
| spellingShingle |
Mentzer, John T. ddc 330 ssgn 3,2 misc Exponential Smoothing misc Forecast Manager misc Forecast Technique misc Weighted Moving Average misc Adaptive Smoothing Forecasting with adaptive extended exponential smoothing |
| authorStr |
Mentzer, John T. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)182223736 |
| format |
Article |
| dewey-ones |
330 - Economics |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0092-0703 |
| topic_title |
330 VZ 3,2 ssgn Forecasting with adaptive extended exponential smoothing Exponential Smoothing Forecast Manager Forecast Technique Weighted Moving Average Adaptive Smoothing |
| topic |
ddc 330 ssgn 3,2 misc Exponential Smoothing misc Forecast Manager misc Forecast Technique misc Weighted Moving Average misc Adaptive Smoothing |
| topic_unstemmed |
ddc 330 ssgn 3,2 misc Exponential Smoothing misc Forecast Manager misc Forecast Technique misc Weighted Moving Average misc Adaptive Smoothing |
| topic_browse |
ddc 330 ssgn 3,2 misc Exponential Smoothing misc Forecast Manager misc Forecast Technique misc Weighted Moving Average misc Adaptive Smoothing |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Journal of the Academy of Marketing Science |
| hierarchy_parent_id |
182223736 |
| dewey-tens |
330 - Economics |
| hierarchy_top_title |
Journal of the Academy of Marketing Science |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)182223736 (DE-600)1187865-4 (DE-576)040097765 |
| title |
Forecasting with adaptive extended exponential smoothing |
| ctrlnum |
(DE-627)OLC206058938X (DE-He213)BF02723361-p |
| title_full |
Forecasting with adaptive extended exponential smoothing |
| author_sort |
Mentzer, John T. |
| journal |
Journal of the Academy of Marketing Science |
| journalStr |
Journal of the Academy of Marketing Science |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
1988 |
| contenttype_str_mv |
txt |
| container_start_page |
62 |
| author_browse |
Mentzer, John T. |
| container_volume |
16 |
| class |
330 VZ 3,2 ssgn |
| format_se |
Aufsätze |
| author-letter |
Mentzer, John T. |
| doi_str_mv |
10.1007/BF02723361 |
| dewey-full |
330 |
| title_sort |
forecasting with adaptive extended exponential smoothing |
| title_auth |
Forecasting with adaptive extended exponential smoothing |
| abstract |
Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. © Academy of Marketing Science 1988 |
| abstractGer |
Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. © Academy of Marketing Science 1988 |
| abstract_unstemmed |
Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented. © Academy of Marketing Science 1988 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_32 GBV_ILN_70 GBV_ILN_110 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4311 |
| container_issue |
3-4 |
| title_short |
Forecasting with adaptive extended exponential smoothing |
| url |
https://doi.org/10.1007/BF02723361 |
| remote_bool |
false |
| ppnlink |
182223736 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/BF02723361 |
| up_date |
2024-07-04T01:43:39.038Z |
| _version_ |
1803610928226238464 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC206058938X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230304082711.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s1988 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/BF02723361</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC206058938X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)BF02723361-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">330</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">3,2</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mentzer, John T.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Forecasting with adaptive extended exponential smoothing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1988</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Academy of Marketing Science 1988</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various time series components, but not both. The purpose of this paper is to present a time series technique newly developed by the author that combines both the inclusion of leve, trend, and seasonality and smoothing constant adaptability. Testing of this technique, managerial and research implications, and guidelines for use are also presented.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exponential Smoothing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Forecast Manager</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Forecast Technique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Weighted Moving Average</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Adaptive Smoothing</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of the Academy of Marketing Science</subfield><subfield code="d">Springer-Verlag, 1973</subfield><subfield code="g">16(1988), 3-4 vom: Sept., Seite 62-70</subfield><subfield code="w">(DE-627)182223736</subfield><subfield code="w">(DE-600)1187865-4</subfield><subfield code="w">(DE-576)040097765</subfield><subfield code="x">0092-0703</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:16</subfield><subfield code="g">year:1988</subfield><subfield code="g">number:3-4</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:62-70</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/BF02723361</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4311</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">16</subfield><subfield code="j">1988</subfield><subfield code="e">3-4</subfield><subfield code="c">09</subfield><subfield code="h">62-70</subfield></datafield></record></collection>
|
| score |
7.3993473 |