Department of Statistics Papers
Parent: Department of Statistics, UCLA
eScholarship stats: History by Item for May through August, 2024
Item | Title | Total requests | 2024-08 | 2024-07 | 2024-06 | 2024-05 |
---|---|---|---|---|---|---|
2rj412j3 | Mate with the two Bishops in Kriegspiel | 935 | 928 | 5 | 2 | |
2mk8r49v | Comparative Fit Indices in Structural Models | 528 | 133 | 161 | 113 | 121 |
583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 443 | 106 | 95 | 101 | 141 |
7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 361 | 100 | 62 | 110 | 89 |
6gv9n38c | Causal Diagrams for Empirical Research | 281 | 83 | 77 | 70 | 51 |
27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 248 | 66 | 60 | 47 | 75 |
87t603ns | On Statistical Criteria: Theory, History, and Applications | 247 | 68 | 51 | 48 | 80 |
6cn677bx | Comparative Fit Indices in Structural Models | 245 | 42 | 61 | 73 | 69 |
24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 234 | 63 | 47 | 45 | 79 |
5f3177k0 | SOCRE: Statistics Online Computational Resource for Education | 200 | 11 | 25 | 81 | 83 |
7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 196 | 46 | 56 | 50 | 44 |
9q6553kr | Object Perception as Bayesian Inference | 195 | 35 | 57 | 42 | 61 |
8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 192 | 48 | 46 | 36 | 62 |
0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 183 | 56 | 52 | 34 | 41 |
53n4f34m | Bayesian networks | 179 | 54 | 50 | 38 | 37 |
4bp1t13z | Designing Studies for Dose Response | 171 | 57 | 45 | 29 | 40 |
05n729v1 | Homogeneity Analysis in R: The Package homals | 150 | 16 | 45 | 19 | 70 |
3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 150 | 38 | 42 | 34 | 36 |
490131xj | The Causal Foundations of Structural Equation Modeling | 144 | 31 | 45 | 26 | 42 |
49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 138 | 37 | 36 | 30 | 35 |
9gg6r1ks | A Naturally Arising Self-Correcting Point Process | 138 | 17 | 13 | 43 | 65 |
65z429wc | Assessment and Propagation of Model Uncertainty | 134 | 35 | 39 | 19 | 41 |
2cs5m2sh | A Primer on Robust Regression | 122 | 32 | 37 | 19 | 34 |
1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 116 | 19 | 34 | 24 | 39 |
06h5156t | Statistical Software - Overview | 110 | 26 | 27 | 16 | 41 |
23c604tb | A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis | 108 | 33 | 23 | 17 | 35 |
45x689gq | Identifiability of Path-Specific Effects | 98 | 36 | 17 | 23 | 22 |
84j7c2w5 | Regression with Missing X's: A Review | 96 | 30 | 28 | 14 | 24 |
0zj8s368 | Statistical Assumptions as Empirical Commitments | 93 | 28 | 24 | 23 | 18 |
0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 92 | 31 | 19 | 22 | 20 |
3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 91 | 38 | 25 | 16 | 12 |
29w3z5b6 | Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate | 89 | 28 | 11 | 27 | 23 |
4q74x3fr | The Foundations of Causal Inference | 88 | 23 | 21 | 20 | 24 |
7n0494s4 | Generalized Varying-Coefficient Models | 84 | 28 | 24 | 20 | 12 |
9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 84 | 39 | 24 | 10 | 11 |
7tn3p6jx | Causal Diagrams | 83 | 19 | 21 | 21 | 22 |
5qp645zm | Graph Layout Techniques and Multidimensional Data Analysis | 79 | 43 | 12 | 11 | 13 |
7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 79 | 30 | 14 | 16 | 19 |
99w4g31j | Testing the Assumptions Underlying Tetrachoric Correlations | 79 | 32 | 21 | 15 | 11 |
45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 78 | 24 | 22 | 8 | 24 |
3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 77 | 26 | 11 | 17 | 23 |
9z64v481 | Multidimensional Scaling Using Majorization: SMACOF in R | 77 | 29 | 19 | 11 | 18 |
4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 76 | 23 | 25 | 17 | 11 |
83p9h12v | Multidimensional Scaling | 76 | 19 | 11 | 19 | 27 |
8940b4k8 | Approximating the Distribution of Pareto Sums | 75 | 15 | 24 | 19 | 17 |
9w56v25f | Quantitative Analysis of Literary Styles | 75 | 19 | 21 | 15 | 20 |
8j29393d | Variable Selection via Penalized Likelihood | 72 | 20 | 20 | 19 | 13 |
1m46j62q | IRT Goodness-of-Fit Using Approaches from Logistic Regression | 71 | 15 | 24 | 16 | 16 |
5zs997vd | A Note on Non-parametric and Semi-parametric Modeling of Wildfire Hazard in Los Angeles County, California. | 71 | 13 | 25 | 21 | 12 |
48h6p1v7 | Vision as Bayesian Inference: Analysis by Synthesis? | 70 | 27 | 26 | 11 | 6 |
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.