Predictability and Prediction
A result can be regarded as routinely predictable when it has recurred consistently under a known range of different conditions. This depends on the previous analysis of many sets of data, drawn from different populations. There is no such basis of extensive experience when a prediction is derived f...
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Veröffentlicht in: | Journal of the Royal Statistical Society. Series A, Statistics in society Statistics in society, 1993-01, Vol.156 (2), p.167-206 |
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container_title | Journal of the Royal Statistical Society. Series A, Statistics in society |
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creator | Ehrenberg, A. S. C. Bound, J. A. |
description | A result can be regarded as routinely predictable when it has recurred consistently under a known range of different conditions. This depends on the previous analysis of many sets of data, drawn from different populations. There is no such basis of extensive experience when a prediction is derived from the analysis of only a single set of data. Yet that is what is mainly discussed in our statistical texts. The paper discusses the design and analysis of studies aimed at achieving routinely predictable results. It uses two running case history examples. |
doi_str_mv | 10.2307/2982727 |
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S. C. ; Bound, J. A.</creator><creatorcontrib>Ehrenberg, A. S. C. ; Bound, J. A.</creatorcontrib><description>A result can be regarded as routinely predictable when it has recurred consistently under a known range of different conditions. This depends on the previous analysis of many sets of data, drawn from different populations. There is no such basis of extensive experience when a prediction is derived from the analysis of only a single set of data. Yet that is what is mainly discussed in our statistical texts. The paper discusses the design and analysis of studies aimed at achieving routinely predictable results. 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S. C.</creatorcontrib><creatorcontrib>Bound, J. A.</creatorcontrib><title>Predictability and Prediction</title><title>Journal of the Royal Statistical Society. Series A, Statistics in society</title><description>A result can be regarded as routinely predictable when it has recurred consistently under a known range of different conditions. This depends on the previous analysis of many sets of data, drawn from different populations. There is no such basis of extensive experience when a prediction is derived from the analysis of only a single set of data. Yet that is what is mainly discussed in our statistical texts. The paper discusses the design and analysis of studies aimed at achieving routinely predictable results. It uses two running case history examples.</description><subject>between‐group analysis</subject><subject>Boyles law</subject><subject>Brands</subject><subject>choice of model</subject><subject>conditions of observation</subject><subject>Cooking oils</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Empiricism</subject><subject>Exact sciences and technology</subject><subject>Forecasts</subject><subject>General topics</subject><subject>induction</subject><subject>Least squares</subject><subject>many sets of data</subject><subject>Mathematics</subject><subject>Modeling</subject><subject>parsimony</subject><subject>physics</subject><subject>Predictability</subject><subject>Probability and statistics</subject><subject>Sciences and techniques of general use</subject><subject>social science</subject><subject>Social sciences</subject><subject>Statistics</subject><issn>0964-1998</issn><issn>1467-985X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1993</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNp10N9LwzAQB_AgCs4p_gXCQNGnziRNc8njGP6CgeIUfAtpkkFG186kZey_N2NFQdi9BI4P39wdQpcEj2mO4Z5KQYHCERoQxiGTovg6RgMsOcuIlOIUncW4xLsCGKCrt-CsN60ufeXb7UjXdtS3fFOfo5OFrqK76N8h-nx8-Jg-Z7PXp5fpZJaZnFGeCWHBcmu4JJaVxKYJHBMEtMScaCMoZ9ZRqp1LzugSGyYEczgvZUGB03yIbve569B8dy62auWjcVWla9d0UeUiT0sJluD1P7hsulCn2RRJyxdCEoCk7vbKhCbG4BZqHfxKh60iWO2OpPojJXnT5-lodLUIujY-_nJGoQAqEhvv2cZXbnsoTb3P5xOMGfC_3GVsm3Dw-x-f63vx</recordid><startdate>19930101</startdate><enddate>19930101</enddate><creator>Ehrenberg, A. 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A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3426-88d7d6dc691d4b1d982e4817a9061ac8264de22aeed7dcab0c4884e03b9527623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1993</creationdate><topic>between‐group analysis</topic><topic>Boyles law</topic><topic>Brands</topic><topic>choice of model</topic><topic>conditions of observation</topic><topic>Cooking oils</topic><topic>Data analysis</topic><topic>Datasets</topic><topic>Empiricism</topic><topic>Exact sciences and technology</topic><topic>Forecasts</topic><topic>General topics</topic><topic>induction</topic><topic>Least squares</topic><topic>many sets of data</topic><topic>Mathematics</topic><topic>Modeling</topic><topic>parsimony</topic><topic>physics</topic><topic>Predictability</topic><topic>Probability and statistics</topic><topic>Sciences and techniques of general use</topic><topic>social science</topic><topic>Social sciences</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ehrenberg, A. 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Series A, Statistics in society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ehrenberg, A. S. C.</au><au>Bound, J. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictability and Prediction</atitle><jtitle>Journal of the Royal Statistical Society. Series A, Statistics in society</jtitle><date>1993-01-01</date><risdate>1993</risdate><volume>156</volume><issue>2</issue><spage>167</spage><epage>206</epage><pages>167-206</pages><issn>0964-1998</issn><eissn>1467-985X</eissn><abstract>A result can be regarded as routinely predictable when it has recurred consistently under a known range of different conditions. This depends on the previous analysis of many sets of data, drawn from different populations. There is no such basis of extensive experience when a prediction is derived from the analysis of only a single set of data. Yet that is what is mainly discussed in our statistical texts. The paper discusses the design and analysis of studies aimed at achieving routinely predictable results. It uses two running case history examples.</abstract><cop>Oxford</cop><pub>Blackwell Publishers</pub><doi>10.2307/2982727</doi><tpages>40</tpages></addata></record> |
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issn | 0964-1998 1467-985X |
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source | Periodicals Index Online; JSTOR Mathematics & Statistics; JSTOR Archive Collection A-Z Listing |
subjects | between‐group analysis Boyles law Brands choice of model conditions of observation Cooking oils Data analysis Datasets Empiricism Exact sciences and technology Forecasts General topics induction Least squares many sets of data Mathematics Modeling parsimony physics Predictability Probability and statistics Sciences and techniques of general use social science Social sciences Statistics |
title | Predictability and Prediction |
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