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Showing 1 to 4 of 4 for “"Log-Likelihood Ratio test"”.

  1. Honey Bee (Apis Mellifera) Foraging Preferences are Negatively Correlated with Alfalfa Leafcutting Bee (Megachile Rotundata) Productivity in Virginian Landscapes

    … cocoon productivity varied by location (log-likelihood ratio test: χ2 = 311.0, df = 2, p < 0.001), with Winchester as the most productive location (mean cocoon count (95% CI): 26.2 (23.7 to 28.9)), followed by Blacksburg (20.4 (18.2 to 22.9)), and Suffolk (4.4 (3.5 to 5.5)). The abundance …

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  2. Likelihood-based testing and model selection for hazard functions with unknown change-points

    The focus of this work is the development of testing procedures for the existence of change-points in parametric hazard models of various types. Hazard functions and the related survival functions are common units of analysis for survival and reliability modeling. We develop a methodology to test

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  3. Comparison of Variety Performance Trials and Farm Level Yield Gains of Wheat Varieties Adopted in Saskatchewan

    … trials and on-farm results using the F-test. Finally, using the Log-likelihood Ratio test we find that the performance of different wheat varieties varies significantly across risk zones in Saskatchewan. Producers must consider the unique characteristics of their region, market …

    sask Repository record for Comparison of Variety Performance Trials and Farm Level Yield Gains of Wheat Varieties Adopted in Saskatchewan (opens in a new tab)

  4. Semiparametric Methods for the Generalized Linear Model

    … a semiparametric generalized linear model with a log-concave random component (SGLM-L). In this model, the estimate of the distribution of the random component has a nonparametric form while the estimate of the systematic part has a parametric form. In the second part of this dissertation, we have …

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