{"title":"Frequencies","authors":"Juli R. Skinner, Ashley N. Lincoln","doi":"10.4324/9781351033909-13","DOIUrl":"https://doi.org/10.4324/9781351033909-13","url":null,"abstract":"","PeriodicalId":446306,"journal":{"name":"IBM SPSS Statistics 25 Step by Step","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114902644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2A IBM SPSS Statistics Processes for PC","authors":"","doi":"10.4324/9781351033909-8","DOIUrl":"https://doi.org/10.4324/9781351033909-8","url":null,"abstract":"","PeriodicalId":446306,"journal":{"name":"IBM SPSS Statistics 25 Step by Step","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2B IBM SPSS Statistics Processes for Mac","authors":"","doi":"10.4324/9781351033909-9","DOIUrl":"https://doi.org/10.4324/9781351033909-9","url":null,"abstract":"","PeriodicalId":446306,"journal":{"name":"IBM SPSS Statistics 25 Step by Step","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129165338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability Analysis","authors":"O. Larsson","doi":"10.4324/9781351033909-25","DOIUrl":"https://doi.org/10.4324/9781351033909-25","url":null,"abstract":"The reliability problem, i.e., the problem of computing pf, has two ingredients: random variables that describe the uncertainty and one or more limit-state functions that define failure. If the problem has only one limit-state function then the problem is referred to as a component reliability problem. Otherwise it is a system reliability problem. It is important to note that in modern reliability analysis the failure event is not necessarily structural collapse or some other event that is easily associated with the word failure. Rather, limit-state functions are defined to compute the probability of a range of events, such as the monetary loss exceeding some selected threshold.","PeriodicalId":446306,"journal":{"name":"IBM SPSS Statistics 25 Step by Step","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131449490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multidimensional Scaling","authors":"M. Steyvers","doi":"10.4135/9780857024657.n13","DOIUrl":"https://doi.org/10.4135/9780857024657.n13","url":null,"abstract":"Multidimensional Scaling (MDS) describes a family of techniques for the analysis of proximity data on a set of stimuli to reveal the hidden structure underlying the data. The proximity data can come from similarity judgments, identification confusion matrices, grouping data, same-different errors or any other measure of pairwise similarity. The main assumption in MDS is that stimuli can be described by values along a set of dimensions that places these stimuli as points in a multidimensional space and that the similarity between stimuli is inversely related to the distances of the corresponding points in the multidimensional space. The Minkowski distance metric provides a general way to specify distance in a multidimensional space:","PeriodicalId":446306,"journal":{"name":"IBM SPSS Statistics 25 Step by Step","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The t Test Procedure 149","authors":".. I. T. Tests","doi":"10.4324/9781315545899-17","DOIUrl":"https://doi.org/10.4324/9781315545899-17","url":null,"abstract":"","PeriodicalId":446306,"journal":{"name":"IBM SPSS Statistics 25 Step by Step","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115850176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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