Department of Statistics, UCLA
Parent: UCLA
eScholarship stats: Breakdown by Item for June through September, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2rj412j3 | Mate with the two Bishops in Kriegspiel | 942 | 935 | 7 | 99.3% |
| 2mk8r49v | Comparative Fit Indices in Structural Models | 529 | 482 | 47 | 91.1% |
| 3sr461nd | Fixed and Random Effects in Panel Data Using Structural Equations Models | 448 | 31 | 417 | 6.9% |
| 583610fv | A Generalized Definition of the Polychoric Correlation Coefficient | 418 | 51 | 367 | 12.2% |
| 7qp4604r | The Phi-coefficient, the Tetrachoric Correlation Coefficient, and the Pearson-Yule Debate | 330 | 61 | 269 | 18.5% |
| 6gv9n38c | Causal Diagrams for Empirical Research | 304 | 192 | 112 | 63.2% |
| 0pg6471b | Making sense of sensitivity: extending omitted variable bias | 264 | 135 | 129 | 51.1% |
| 87t603ns | On Statistical Criteria: Theory, History, and Applications | 256 | 15 | 241 | 5.9% |
| 27s1d3h7 | Robust Statistical Modeling Using the t- Distribution | 217 | 123 | 94 | 56.7% |
| 53n4f34m | Bayesian networks | 212 | 15 | 197 | 7.1% |
| 6cn677bx | Comparative Fit Indices in Structural Models | 211 | 11 | 200 | 5.2% |
| 9q6553kr | Object Perception as Bayesian Inference | 194 | 172 | 22 | 88.7% |
| 7j01t5sf | On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient | 189 | 25 | 164 | 13.2% |
| 24w7k7m1 | Mahalanobis' Distance Beyond Normal Distributions | 185 | 7 | 178 | 3.8% |
| 8cs5815x | Vision as Bayesian Inference: Analysis by Synthesis? | 177 | 61 | 116 | 34.5% |
| 4bp1t13z | Designing Studies for Dose Response | 170 | 11 | 159 | 6.5% |
| 0789f7d3 | The Gifi System for Nonlinear Multivariate Analysis | 163 | 149 | 14 | 91.4% |
| 0tg4t8bd | Recent Developments in Causal Inference and Machine Learning | 150 | 125 | 25 | 83.3% |
| 6gr648np | Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data | 137 | 9 | 128 | 6.6% |
| 490131xj | The Causal Foundations of Structural Equation Modeling | 134 | 121 | 13 | 90.3% |
| 3141h70c | Scaling Corrections for Statistics in Covariance Structure Analysis | 132 | 103 | 29 | 78.0% |
| 49m7794d | A Comparison of Some Methodologies for the Factor Analysis of Non-Normal Likert Variables: A Note on the Size of the Model | 126 | 102 | 24 | 81.0% |
| 5f3177k0 | SOCRE: Statistics Online Computational Resource for Education | 121 | 3 | 118 | 2.5% |
| 99b2s80w | Heider vs Simmel: Emergent Features in Dynamic Structures | 115 | 33 | 82 | 28.7% |
| 65z429wc | Assessment and Propagation of Model Uncertainty | 113 | 39 | 74 | 34.5% |
| 2cs5m2sh | A Primer on Robust Regression | 109 | 74 | 35 | 67.9% |
| 8t51b39q | Emergent constraints on the large scale atmospheric circulation and regional hydroclimate: do they still work in CMIP6 and how much can they actually constrain the future? | 107 | 30 | 77 | 28.0% |
| 45x689gq | Identifiability of Path-Specific Effects | 106 | 15 | 91 | 14.2% |
| 05n729v1 | Homogeneity Analysis in R: The Package homals | 98 | 8 | 90 | 8.2% |
| 1gf0b3m7 | Simple and Canonical Correspondence Analysis Using the R Package anacor | 96 | 2 | 94 | 2.1% |
| 0zj8s368 | Statistical Assumptions as Empirical Commitments | 95 | 64 | 31 | 67.4% |
| 6st1j18s | Growing impact of wildfire on western US water supply | 92 | 24 | 68 | 26.1% |
| 5m64m4p5 | Introduction to Special Edition: The Future of the Textbook | 91 | 10 | 81 | 11.0% |
| 0fd986xb | Information Theory and an Extension of the Maximum Likelihood Principle by Hirotogu Akaike | 89 | 65 | 24 | 73.0% |
| 3mw1p0mb | Slicing Regression: Dimension Reduction via Inverse Regression | 89 | 77 | 12 | 86.5% |
| 9nh0d6wj | Probabilities of Causation: Three Counterfactual Interpretations and their Identification | 89 | 22 | 67 | 24.7% |
| 51v706k5 | Measuring Ethnic Bias: Can Misattribution-Based Tools from Social Psychology Reveal Group Biases that Economics Games Cannot? | 87 | 6 | 81 | 6.9% |
| 80s9k72v | An accurate and robust imputation method scImpute for single-cell RNA-seq data | 87 | 8 | 79 | 9.2% |
| 23c604tb | A Scaled Difference Chi-square Test Statistic for Moment Structure Analysis | 85 | 65 | 20 | 76.5% |
| 3r63h452 | Discussions | 85 | 4 | 81 | 4.7% |
| 4q74x3fr | The Foundations of Causal Inference | 84 | 7 | 77 | 8.3% |
| 5h9374jn | Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response: All-cause mortality calculator for COVID-19 response | 84 | 6 | 78 | 7.1% |
| 84j7c2w5 | Regression with Missing X's: A Review | 84 | 63 | 21 | 75.0% |
| 52b8201d | Decadal predictability of late winter precipitation in western Europe through an ocean–jet stream connection | 83 | 8 | 75 | 9.6% |
| 4x788631 | A Comparison of Maximum-Likelihood and Asymptotically Distribution-Free Methods of Treating Incomplete Non-Normal Data | 82 | 67 | 15 | 81.7% |
| 6nx307ct | Comment | 82 | 6 | 76 | 7.3% |
| 06h5156t | Statistical Software - Overview | 81 | 7 | 74 | 8.6% |
| 0rn9t5jv | An Unexpected Decline in Spring Atmospheric Humidity in the Interior Southwestern United States and Implications for Forest Fires | 81 | 65 | 16 | 80.2% |
| 1gp5n7r0 | Methods for Inference from Respondent-Driven Sampling Data | 80 | 10 | 70 | 12.5% |
| 7n0494s4 | Generalized Varying-Coefficient Models | 80 | 24 | 56 | 30.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.