Department of Statistics Papers

Parent: Department of Statistics, UCLA

eScholarship stats: History by Item for May through August, 2024

ItemTitleTotal requests2024-082024-072024-062024-05
2rj412j3Mate with the two Bishops in Kriegspiel93592852
2mk8r49vComparative Fit Indices in Structural Models528133161113121
583610fvA Generalized Definition of the Polychoric Correlation Coefficient44310695101141
7qp4604rThe Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate3611006211089
6gv9n38cCausal Diagrams for Empirical Research28183777051
27s1d3h7Robust Statistical Modeling Using the t- Distribution24866604775
87t603nsOn Statistical Criteria: Theory, History, and Applications24768514880
6cn677bxComparative Fit Indices in Structural Models24542617369
24w7k7m1Mahalanobis' Distance Beyond Normal Distributions23463474579
5f3177k0SOCRE: Statistics Online Computational Resource for Education20011258183
7j01t5sfOn the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient19646565044
9q6553krObject Perception as Bayesian Inference19535574261
8cs5815xVision as Bayesian Inference: Analysis by Synthesis?19248463662
0789f7d3The Gifi System for Nonlinear Multivariate Analysis18356523441
53n4f34mBayesian networks17954503837
4bp1t13zDesigning Studies for Dose Response17157452940
05n729v1Homogeneity Analysis in R: The Package homals15016451970
3141h70cScaling Corrections for Statistics in Covariance Structure Analysis15038423436
490131xjThe Causal Foundations of Structural Equation Modeling14431452642
49m7794dA Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model13837363035
9gg6r1ksA Naturally Arising Self-Correcting Point Process13817134365
65z429wcAssessment and Propagation of Model Uncertainty13435391941
2cs5m2shA Primer on Robust Regression12232371934
1gf0b3m7Simple and Canonical Correspondence Analysis Using the R Package anacor11619342439
06h5156tStatistical Software - Overview11026271641
23c604tbA Scaled Difference Chi-square Test Statistic for Moment Structure Analysis10833231735
45x689gqIdentifiability of Path-Specific Effects9836172322
84j7c2w5Regression with Missing X's: A Review9630281424
0zj8s368Statistical Assumptions as Empirical Commitments9328242318
0fd986xbInformation Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike9231192220
3mw1p0mbSlicing Regression: Dimension Reduction via Inverse Regression9138251612
29w3z5b6Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate8928112723
4q74x3frThe Foundations of Causal Inference8823212024
7n0494s4Generalized Varying-Coefficient Models8428242012
9nh0d6wjProbabilities of Causation: Three Counterfactual Interpretations and their Identification8439241011
7tn3p6jxCausal Diagrams8319212122
5qp645zmGraph Layout Techniques and Multidimensional Data Analysis7943121113
7wg0k7xqApplications of Convex Analysis to Multidimensional Scaling7930141619
99w4g31jTesting the Assumptions Underlying Tetrachoric Correlations7932211511
45h3t3t2Bias in Factor Score Regression and a Simple Solution782422824
3jq067x8Bounds on Treatment Effects from Studies with Imperfect Compliance7726111723
9z64v481Multidimensional Scaling Using Majorization: SMACOF in R7729191118
4x788631A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data7623251711
83p9h12vMultidimensional Scaling7619111927
8940b4k8Approximating the Distribution of Pareto Sums7515241917
9w56v25fQuantitative Analysis of Literary Styles7519211520
8j29393dVariable Selection via Penalized Likelihood7220201913
1m46j62qIRT Goodness-of-Fit Using Approaches from Logistic Regression7115241616
5zs997vdA Note on Non-parametric and Semi-parametric Modeling of Wildfire Hazard in Los Angeles County, California.7113252112
48h6p1v7Vision as Bayesian Inference: Analysis by Synthesis?702726116

Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.