{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T11:48:56Z","timestamp":1781005736716,"version":"3.54.1"},"edition-number":"1","reference-count":32,"publisher":"Wiley","isbn-type":[{"value":"9780470035498","type":"print"},{"value":"9780470061596","type":"electronic"}],"license":[{"start":{"date-parts":[[2008,7,15]],"date-time":"2008-07-15T00:00:00Z","timestamp":1216080000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,7,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This chapter discusses the use of computer models for such diverse applications as safety assessments for geologic isolation of radioactive waste and for nuclear power plants; loss cost projections for hurricanes; reliability analyses for manufacturing equipment; transmission of HIV; and subsurface storm flow modelling. Such models are usually characterized by a large number of input variables (perhaps as many as a few hundred), and usually, only a handful of these inputs are important for a given response. In addition, the model response is frequently multivariate and time dependent. Latin hypercube sampling (LHS) uses a stratified sampling scheme to improve on the coverage of the<jats:italic>k<\/jats:italic>\u2010dimensional input space for such computer models. This means that a single sample will provide useful information when some input variable(s) dominate certain responses (or certain time intervals), while other input variables dominate other responses (or time intervals). By sampling over the entire range, each variable has the opportunity to show up as important, if it indeed is important. If an input variable is not important, then the method of sampling is of little or no concern. The values of the stratified sampling scheme can be paired to ensure a desired correlation structure among the<jats:italic>k<\/jats:italic>input variables. LHS is more efficient than simple random sampling in a large range of conditions.<\/jats:p>","DOI":"10.1002\/9780470061596.risk0299","type":"other","created":{"date-parts":[[2008,9,4]],"date-time":"2008-09-04T01:12:50Z","timestamp":1220490770000},"source":"Crossref","is-referenced-by-count":102,"title":["<scp>L<\/scp>atin Hypercube Sampling"],"prefix":"10.1002","author":[{"given":"Ronald L.","family":"Iman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2008,9,15]]},"reference":[{"issue":"2","key":"e_1_2_4_2_1","first-page":"36","article-title":"Assessing hurricane effects: part 1\u2010sensitivity analysis","volume":"78","author":"Iman R.L.","year":"2002","journal-title":"Reliability Engineering and Systems Safety"},{"issue":"2","key":"e_1_2_4_3_1","first-page":"51","article-title":"Assessing hurricane effects: part 2 \u2010 uncertainty analysis","volume":"78","author":"Iman R.L.","year":"2002","journal-title":"Reliability Engineering and Systems Safety"},{"key":"e_1_2_4_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.2005.00673.x"},{"key":"e_1_2_4_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.2005.00674.x"},{"key":"e_1_2_4_6_1","volume-title":"Total System Performance Assessment for the Site Recommendation","author":"CRWMS M&O (Civilian Radioactive Waste Management System Management and Operating Contractor)","year":"2000"},{"key":"e_1_2_4_7_1","volume-title":"Yucca Mountain Science and Engineering Report","author":"U.S. DOE (U.S. Department of Energy)","year":"2002"},{"key":"e_1_2_4_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0951-8320(90)90094-4"},{"key":"e_1_2_4_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0010-4655(98)00171-4"},{"key":"e_1_2_4_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.1999.tb00453.x"},{"key":"e_1_2_4_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/0029-5493(92)90300-K"},{"key":"e_1_2_4_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/0951-8320(93)90038-Z"},{"key":"e_1_2_4_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/24.387368"},{"key":"e_1_2_4_14_1","doi-asserted-by":"publisher","DOI":"10.2118\/11303-PA"},{"key":"e_1_2_4_15_1","doi-asserted-by":"publisher","DOI":"10.2307\/1403510"},{"key":"e_1_2_4_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-6584.1996.tb02075.x"},{"key":"e_1_2_4_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610928008827996"},{"key":"e_1_2_4_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0951-8320(98)00091-X"},{"key":"e_1_2_4_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/0272-4332.00041"},{"key":"e_1_2_4_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2005.11.017"},{"key":"e_1_2_4_21_1","volume-title":"Encyclopedia of Statistical Sciences","author":"Iman R.L.","year":"1999"},{"key":"e_1_2_4_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0951-8320(03)00058-9"},{"key":"e_1_2_4_23_1","unstructured":"Iman R.L. Davenport J.M.&Zeigler D.K.(1980).Latin hypercube sampling (program user's guide) Technical ReportSAND79\u20101473 Sandia National Laboratories Albuquerque."},{"key":"e_1_2_4_24_1","doi-asserted-by":"crossref","unstructured":"Iman R.L.&Shortencarier M.J.(1984).A FORTRAN 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models Technical ReportNUREG\/CR\u20103624 SAND83\u20102365 Sandia National Laboratories Albuquerque.","DOI":"10.2172\/7091452"},{"key":"e_1_2_4_25_1","doi-asserted-by":"publisher","DOI":"10.2307\/1268522"},{"key":"e_1_2_4_26_1","unstructured":"Conover W.J.(1975).On a Better Method of Selecting Values of Input Variables for Computer Codes Unpublished manuscript (see Appendix A of [11])."},{"key":"e_1_2_4_27_1","doi-asserted-by":"publisher","DOI":"10.2172\/806696"},{"key":"e_1_2_4_28_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610918208812265"},{"key":"e_1_2_4_29_1","volume-title":"Extension of latin hypercube samples with correlated variables","author":"Sallaberry C.J.","year":"2006"},{"key":"e_1_2_4_30_1","doi-asserted-by":"publisher","DOI":"10.1198\/000313006X106019"},{"key":"e_1_2_4_31_1","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2"},{"key":"e_1_2_4_32_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.176.4040.1191"},{"key":"e_1_2_4_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.1987.tb00966.x"}],"container-title":["Encyclopedia of Quantitative Risk Analysis and Assessment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/9780470061596.risk0299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T16:27:08Z","timestamp":1709224028000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/9780470061596.risk0299"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,7,15]]},"ISBN":["9780470035498","9780470061596"],"references-count":32,"alternative-id":["10.1002\/9780470061596.risk0299","10.1002\/9780470061596"],"URL":"https:\/\/doi.org\/10.1002\/9780470061596.risk0299","archive":["Portico"],"relation":{},"subject":[],"published":{"date-parts":[[2008,7,15]]}}}