Modeling in forestry using mixture models fitted to grouped and ungrouped data

Mathematics

• Mixture Model 100%
• Expectation-Maximization Algorithm 57%
• Goodness of Fit Test 28%
• Mixture Distribution 28%
• Newton-Raphson 28%
• Raphson Algorithm 28%
• Iterative Method 14%
• Probability Density Function 14%
• Density Estimation 14%
• Maximum Likelihood Estimator 14%
• Maximum Likelihood 14%
• Likelihood Approach 14%
• Weibull Distribution 14%
• Initial Value 14%

Keyphrases

• Log-Normal Mixtures 50%
• NK Model 33%
• Mixture of Normal Distributions 33%
• DBH Distribution 33%
• Weibull Mixture Distribution 16%
• Gamma Mixture Distribution 16%
• Weibull Mixture Model 16%
• Gamma Family 16%
• Mixture of Probability Distributions 16%
• Normal Mixture Models 16%

Agricultural and Biological Sciences

• Forestry 100%