Error patterns from alternative cost progress models
Bookreader Item Preview
Share or Embed This Item
- Publication date
- 1993-11
- Topics
- COST MODELS., ERROR ANALYSIS.
- Publisher
- Monterey, California : Naval Postgraduate School
- Collection
- navalpostgraduateschoollibrary; fedlink; americana
- Contributor
- Naval Postgraduate School, Dudley Knox Library
- Language
- English
- Item Size
- 87.3M
Title from cover
"NPS-AS-93-025."
"November 1993."
AD A278 627
Includes bibliographical references
Numerous cost progress models have been offered in the literature and used in practice. This paper selects five cost progress models which predict future cost using various combinations of three factors (past cost, cumulative quantity, and production rate), and investigates the forecast accuracy of the models under varying circumstances. The broad objectives are to (1) identity conditions which may affect model accuracy, documenting the manner in which forecast errors for each model depend on those conditions, and (2) suggest which of the five models may be more or less accurate under a given set of conditions. Particular attention is paid to how model accuracy is affected by one specific condition - changes in production rate. Learning curve, Cost progress model, Cost estimation, Production rate, Forecasting accuracy
aq/aq cc:9116 04/19/99
"NPS-AS-93-025."
"November 1993."
AD A278 627
Includes bibliographical references
Numerous cost progress models have been offered in the literature and used in practice. This paper selects five cost progress models which predict future cost using various combinations of three factors (past cost, cumulative quantity, and production rate), and investigates the forecast accuracy of the models under varying circumstances. The broad objectives are to (1) identity conditions which may affect model accuracy, documenting the manner in which forecast errors for each model depend on those conditions, and (2) suggest which of the five models may be more or less accurate under a given set of conditions. Particular attention is paid to how model accuracy is affected by one specific condition - changes in production rate. Learning curve, Cost progress model, Cost estimation, Production rate, Forecasting accuracy
aq/aq cc:9116 04/19/99
- Addeddate
- 2013-01-15 23:34:14
- Associated-names
- Naval Postgraduate School (U.S.). Dept. of Systems Management
- Call number
- ocn640932660
- Camera
- Canon EOS 5D Mark II
- Contributor_corporate
- Naval Postgraduate School (U.S.). Dept. of Systems Management.
- External-identifier
-
urn:handle:10945/29278
urn:oclc:record:1045025510
- Foldoutcount
- 0
- Format_extent
- 49 p. : ill. ; 28 cm.
- Identifier
- errorpatternsfro00mose
- Identifier-ark
- ark:/13960/t50g5083x
- Identifier_npsreport
- NPS-AS-93-025
- Identifier_oclc
- ocn640932660
- Ocr_converted
- abbyy-to-hocr 1.1.37
- Ocr_module_version
- 0.0.21
- Openlibrary_edition
- OL25510699M
- Openlibrary_work
- OL16889479W
- Page-progression
- lr
- Page_number_confidence
- 71
- Page_number_module_version
- 1.0.3
- Pages
- 66
- Ppi
- 350
- Republisher_date
- 20130116221758
- Republisher_operator
- associate-karina-martinez@archive.org
- Scandate
- 20130116181754
- Scanner
- scribe18.sanfrancisco.archive.org
- Scanningcenter
- sanfrancisco
- Type
- Technical Report
- Full catalog record
- MARCXML