{"title":"Critical Points for a 50:50 Mixture of Chi-Squared Distributions","authors":"","doi":"10.1002/9781119513469.app3","DOIUrl":"https://doi.org/10.1002/9781119513469.app3","url":null,"abstract":"","PeriodicalId":330426,"journal":{"name":"Applied Longitudinal Analysis","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114341202","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":"Gentle Introduction to Vectors and Matrices","authors":"","doi":"10.1002/9781119513469.app1","DOIUrl":"https://doi.org/10.1002/9781119513469.app1","url":null,"abstract":"","PeriodicalId":330426,"journal":{"name":"Applied Longitudinal Analysis","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857698","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":"Multilevel Models","authors":"Germán Rodŕıguez","doi":"10.1002/9781119513469.ch22","DOIUrl":"https://doi.org/10.1002/9781119513469.ch22","url":null,"abstract":"The course has a website at https://data.princeton.edu/pop510, where you will find supporting materials including a course syllabus and bibliography, with useful links to other resources a collection of computing logs including Stata and R logs fitting various linear and generalized linear multilevel models by maximum likelihood Computing logs illustrating the use of Bayesian methods in multilevel analysis, including a random-effects logistic regression model fitted using WinBUGS and Stan Some older runs using the classic package MLwiN Some of my own research on multilevel models is housed at https://data.princeton.edu/multilevel. Resources include a list of publications, the simulated data used in a 1995 JRSS-A paper, and the actual data used in a 2001 JRSS-A paper (and earlier in a 1996 Demography paper)","PeriodicalId":330426,"journal":{"name":"Applied Longitudinal Analysis","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123204572","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":"Review of Generalized Linear Models","authors":"","doi":"10.1002/9781119513469.ch11","DOIUrl":"https://doi.org/10.1002/9781119513469.ch11","url":null,"abstract":"","PeriodicalId":330426,"journal":{"name":"Applied Longitudinal Analysis","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124287902","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":"Properties of Expectations and Variances","authors":"","doi":"10.1002/9781119513469.app2","DOIUrl":"https://doi.org/10.1002/9781119513469.app2","url":null,"abstract":"It is often referred to as the first moment of Y, since it describes the location of the center of the distribution. The precise definition of the expectation of Y is that it is a weighted average of all the possible values of Y, with weights determined by the probabilities associated with each possible value. The variance of Y, often denoted by o-2 = Var(Y), is a measure of the dispersion or variability around the mean or expected value of Y. The variance is often referred to as the second central moment of Y and is defined as","PeriodicalId":330426,"journal":{"name":"Applied Longitudinal Analysis","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116360239","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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