search for: discretedistribution

...stribution ENHANCED ACCURACY + by log scale Following Peter Dalgaard's hint https://stat.ethz.ch/pipermail/r-help/2008-September/174295.html we use the log.p argument to be able to simulate accurately from the far out tails. + refined collapsing technique for DiscreteDistribution + more frequent use of FFT for convolution by better treatment of joint lattices AUTOMATIC GENERATION OF IMAGE DISTRIBUTION + slot r is now /much/ faster / slimmer for results of *,/,^ + slot d for results of *,/, exp() now is correct at 0 by extrapolation COMFORT METHODS + getLow...

...stribution ENHANCED ACCURACY + by log scale Following Peter Dalgaard's hint https://stat.ethz.ch/pipermail/r-help/2008-September/174295.html we use the log.p argument to be able to simulate accurately from the far out tails. + refined collapsing technique for DiscreteDistribution + more frequent use of FFT for convolution by better treatment of joint lattices AUTOMATIC GENERATION OF IMAGE DISTRIBUTION + slot r is now /much/ faster / slimmer for results of *,/,^ + slot d for results of *,/, exp() now is correct at 0 by extrapolation COMFORT METHODS + getLow...

...stributions of the " base" package for which such "r", "d", "p", and "q" functions exist are implemented (essentially by wrappers of the origininal code) as subclasses of either of the two the subclasses "AbscontDistribution" or " DiscreteDistribution". This approach seems very appealing to us from a conceptual viewpoint: Just pass an object of some derived distribution class to a generic function as argument and let the dispatching mechanism decide what to do on run-time. As an example, we may automatically generate new objects of...

...istr . It is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. Additionally, we also provide classes for a standardized treatment of simulations (also under contaminati...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. Additionally, we also provide classes for a standardized treatment of simulations (also under contaminati...

...istr . It is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. Additionally, we also provide classes for a standardized treatment of simulations (also under contaminati...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. Additionally, we also provide classes for a standardized treatment of simulations (also under contaminati...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "stats" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- ************ &qu...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "stats" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- ************ &qu...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. Additionally, we also provide classes for a standardized treatment of simulations (also under contaminati...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. Additionally, we also provide classes for a standardized treatment of simulations (also under contaminati...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "stats" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- ************ &qu...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "stats" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- ************ &qu...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "stats" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- ************ &qu...

...str" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "stats" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- ************ &qu...

Hello, Given a probability function: p(x) = 12 / (25(x+1)) , x=0, 1, 2, 3 we generate the following values: C1 C2 0 0.48 1 0.24 2 0.16 3 0.12 Now, I'm supposed to create 50 random values using this table. In MiniTab, I simply selected Calc -> Random Data -> Discrete, and selected the columns, and it created 50 random values in a new column.[1] How do I do the

...istr" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- Short Descriptio...

...istr" is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution". Using these classes, we also provide (default) methods to automatically generate the image distributions under unary mathematical operations as well as a general convolution algorithm. ----------------------------------------------------------------------------------------- Short Descriptio...