Optimal blocked minimum-support designs for non
... models) and any number of explanatory variables. The focus in this paper is on designs that are minimally supported, i.e. the number of distinct design points, or treatments, is equal to the number of unknown parameters in the model. Designs for nonlinear models generally suffer from their performan ...
... models) and any number of explanatory variables. The focus in this paper is on designs that are minimally supported, i.e. the number of distinct design points, or treatments, is equal to the number of unknown parameters in the model. Designs for nonlinear models generally suffer from their performan ...
Non-Markovian Regime Switching with Endogenous States and
... fourth quarter of 1991. In all, the regime-switching model had a posterior mean below zero for six quarters in 1990-91, whereas the NBER recession lasted only three quarters. In 2001, in contrast, the posterior mean was below zero for four quarters, starting in the first quarter of 2001, whereas the ...
... fourth quarter of 1991. In all, the regime-switching model had a posterior mean below zero for six quarters in 1990-91, whereas the NBER recession lasted only three quarters. In 2001, in contrast, the posterior mean was below zero for four quarters, starting in the first quarter of 2001, whereas the ...
Math 143: Introduction to Biostatistics
... The only slight advantage to the pooled method is that the formula for degrees of freedom is easier, so it was simpler to do on a hand-held calculator. (The formula for standard error is more complicated than ours because of the pooled estimate of the standard deviation, but it is still doable.) The ...
... The only slight advantage to the pooled method is that the formula for degrees of freedom is easier, so it was simpler to do on a hand-held calculator. (The formula for standard error is more complicated than ours because of the pooled estimate of the standard deviation, but it is still doable.) The ...
Lecture Note 5
... • Advantages: • Classification of data based on limiting • features is intuitive • Handles discrete/categorical features best ...
... • Advantages: • Classification of data based on limiting • features is intuitive • Handles discrete/categorical features best ...
Stats Review Guide
... scale: item averages range from 1-7) compared to a randomly assigned comparison condition exposed to 37 hours of Sally Struthers’ Feed the Children commercials (group = 2). Does participant sex (m = 0, f = 1) moderate the relationship between south park exposure (IV: random assignment to condition: ...
... scale: item averages range from 1-7) compared to a randomly assigned comparison condition exposed to 37 hours of Sally Struthers’ Feed the Children commercials (group = 2). Does participant sex (m = 0, f = 1) moderate the relationship between south park exposure (IV: random assignment to condition: ...
Classification
... • Define the problem and important variables. • Select a splitting criterion (likelihood). • Initialization: create a tree with one node containing all the training data. • Splitting: find the best question for splitting each terminal node. Split the one terminal node that results in the greatest in ...
... • Define the problem and important variables. • Select a splitting criterion (likelihood). • Initialization: create a tree with one node containing all the training data. • Splitting: find the best question for splitting each terminal node. Split the one terminal node that results in the greatest in ...
1 An Agile ETL Data Development An Agile Extract Transform and
... While the use of XML data and XML schema is fast becoming an industry standard for web services and other application areas, most enterprise systems in organisations continue to store and manage data using traditional relational databases. The ANU is no exception in this respect. Most of the data r ...
... While the use of XML data and XML schema is fast becoming an industry standard for web services and other application areas, most enterprise systems in organisations continue to store and manage data using traditional relational databases. The ANU is no exception in this respect. Most of the data r ...
Large-Scale Price Optimization via Network Flow
... technical contributions are two-fold. First, we reveal the connection between submodularity of the revenue and cross elasticity of demand. More specifically, we show that the gross profit function of the prescriptive price optimization is supermodular (i.e., the maximization of the gross profit func ...
... technical contributions are two-fold. First, we reveal the connection between submodularity of the revenue and cross elasticity of demand. More specifically, we show that the gross profit function of the prescriptive price optimization is supermodular (i.e., the maximization of the gross profit func ...
