Some general aspects of the log-logistic distribution (LLD) are discussed in Chapter 17. The three-parameter log-logistic distribution (LLD3) is a generalization of the two-parameter log-logistic distribution. The LLD3 has been applied to frequency analysis of precipitation and streamflow data. ...
Effects of Initial Values and Convergence Criterion in the Two-Parameter Logistic Model When Estimating the Latent Distribution in BILOG-MG 3 Hence, the present study investigated effects of initial values on item parameter bias and on recovery of item characteristic curves in BILOG-MG 3, a widel...
maximum likelihoodPareto distributionPOMEThe principle of maximum entropy (POME) was employed to derive a new method of parameter estimation for the 2-... V.,P.,Singh,... - 《Water Resources Management》 被引量: 149发表: 1997年 PARAMETER ESTIMATION FOR 2-PARAMETER LOG-LOGISTIC DISTRIBUTION (...
Four landslide inventory datasets and 15 landslide conditional factors were trained by three Machine Learning models (logistic regression, random forest, support vector machine), and a Deep Learning (DL) model. After comparing the models using receiver operating characteristics (ROC), the landslide ...
For the DEGs obtained by RRA analysis, a PPI network was constructed using the STRING website (https://cn.string-db.org/) with a parameter of confidence > 0.4. Visualization of the PPI network was performed by Cytoscape (Cytoscape version 3.7.2), and molecular complex detection (MCODE...
In the simple regression model, Y = beta_0 - beta_1X + varepsilon, what is varepsilon? a. Variance of the model b. Predictor variable c. Random error d. Response variable e. Parameter to be estimated Outliers have different effects on logistic regression versus linear regression. What are...
Use log(λ) to plot the area under the receiver operating characteristic curve. Draw a vertical dashed line at the optimal value with one standard error of the minimum standard and 1 standard error of the minimum standard (1-SE standard). B The tuning parameter (lambda) selection in LASSO ...
4C). Typically, the differences seen in the relaxation time and in the distribution coefficient at the beginning of the hardening disappeared at the beginning of October, and then the parameter values either remained the same or diverged again (Fig. 4C, D). In maple and elm, there was no ...
Two days after challenge, immunized animals had ~3–4 log10fewer copies of nucleocapsid (N) subgenomic RNA (sgRNA) in the lower respiratory tract compared to naïve animals (Fig.6B, C). Peak sgN titers (the highest viral load detected during the 14-day follow-up) were significantly lower...
The genome of each CC line is a mosaic of the inbred founders, which we reconstructed using a hidden Markov Model (HMM) HAPPY [14] across the genotypes to compute probabilities of descent from the founders, setting the generation parameter to g = 7. In CC line k at SNP interval (...