Department of Statistics Papers
Parent: Department of Statistics, UCLA
eScholarship stats: Breakdown by Item for July through October, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2rj412j3 | Mate with the two Bishops in Kriegspiel | 949 | 939 | 10 | 98.9% |
| 2mk8r49v | Comparative Fit Indices in Structural Models | 557 | 491 | 66 | 88.2% |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 405 | 53 | 352 | 13.1% |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 299 | 68 | 231 | 22.7% |
| 6gv9n38c | Causal Diagrams for Empirical Research | 294 | 190 | 104 | 64.6% |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 289 | 13 | 276 | 4.5% |
| 53n4f34m | Bayesian networks | 266 | 16 | 250 | 6.0% |
| 9q6553kr | Object Perception as Bayesian Inference | 223 | 192 | 31 | 86.1% |
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 216 | 117 | 99 | 54.2% |
| 8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 206 | 70 | 136 | 34.0% |
| 24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 195 | 7 | 188 | 3.6% |
| 6cn677bx | Comparative Fit Indices in Structural Models | 192 | 9 | 183 | 4.7% |
| 4bp1t13z | Designing Studies for Dose Response | 180 | 11 | 169 | 6.1% |
| 7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 165 | 23 | 142 | 13.9% |
| 0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 145 | 129 | 16 | 89.0% |
| 490131xj | The Causal Foundations of Structural Equation Modeling | 144 | 124 | 20 | 86.1% |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 138 | 103 | 35 | 74.6% |
| 49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 125 | 97 | 28 | 77.6% |
| 65z429wc | Assessment and Propagation of Model Uncertainty | 122 | 40 | 82 | 32.8% |
| 2cs5m2sh | A Primer on Robust Regression | 114 | 78 | 36 | 68.4% |
| 45x689gq | Identifiability of Path-Specific Effects | 113 | 18 | 95 | 15.9% |
| 05n729v1 | Homogeneity Analysis in R: The Package homals | 103 | 9 | 94 | 8.7% |
| 0zj8s368 | Statistical Assumptions as Empirical Commitments | 102 | 63 | 39 | 61.8% |
| 0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 96 | 69 | 27 | 71.9% |
| 9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 96 | 22 | 74 | 22.9% |
| 3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 95 | 82 | 13 | 86.3% |
| 1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 94 | 3 | 91 | 3.2% |
| 23c604tb | A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis | 91 | 70 | 21 | 76.9% |
| 7786134t | Statistics and the Modern Student | 90 | 65 | 25 | 72.2% |
| 84j7c2w5 | Regression with Missing X's: A Review | 90 | 64 | 26 | 71.1% |
| 4q74x3fr | The Foundations of Causal Inference | 86 | 9 | 77 | 10.5% |
| 06h5156t | Statistical Software - Overview | 83 | 7 | 76 | 8.4% |
| 4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 83 | 67 | 16 | 80.7% |
| 7n0494s4 | Generalized Varying-Coefficient Models | 78 | 24 | 54 | 30.8% |
| 6xc0172f | Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods | 77 | 57 | 20 | 74.0% |
| 7wg0k7xq | Applications of Convex Analysis to Multidimensional Scaling | 77 | 42 | 35 | 54.5% |
| 8940b4k8 | Approximating the Distribution of Pareto Sums | 77 | 54 | 23 | 70.1% |
| 29w3z5b6 | Geometrical Aspects of Multiple Correspondence Analysis: Implications for the Coordinate Scaling Debate | 76 | 58 | 18 | 76.3% |
| 8j29393d | Variable Selection via Penalized Likelihood | 76 | 46 | 30 | 60.5% |
| 9z64v481 | Multidimensional Scaling Using Majorization: SMACOF in R | 76 | 27 | 49 | 35.5% |
| 13k6x1w8 | Jakob Bernoulli's Theory of Inference | 74 | 8 | 66 | 10.8% |
| 3jq067x8 | Bounds on Treatment Effects from Studies with Imperfect Compliance | 74 | 25 | 49 | 33.8% |
| 7sw581hc | Sharp Quadratic Majorization in One Dimension | 74 | 1 | 73 | 1.4% |
| 48h6p1v7 | Vision as Bayesian Inference: Analysis by Synthesis? | 72 | 43 | 29 | 59.7% |
| 99w4g31j | Testing the Assumptions Underlying Tetrachoric Correlations | 72 | 33 | 39 | 45.8% |
| 7tn3p6jx | Causal Diagrams | 70 | 58 | 12 | 82.9% |
| 5qk1s0dv | Object Perception as Bayesian Inference | 67 | 52 | 15 | 77.6% |
| 45h3t3t2 | Bias in Factor Score Regression and a Simple Solution | 65 | 10 | 55 | 15.4% |
| 5qp645zm | Graph Layout Techniques and Multidimensional Data Analysis | 65 | 6 | 59 | 9.2% |
| 9w56v25f | Quantitative Analysis of Literary Styles | 65 | 26 | 39 | 40.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.