<p>The accumulation and change-of-learning-rate parameters {<i>N</i>, <i>D</i>} are for {1, 3}, {5, 1}, {8, 0.5} in the Weibull, gamma, Weibull-gamma models, respectively. The slope and intercept of the logistic model are 1 and 5, respectively. All four models (distributions) have an identical mean of 5.</p
In this paper, we propose a new three-parameter distribution on the positive real line, called the g...
<p>Different combinations of shape parameters (scale parameters are fixed) for the four different mo...
<p>The values of the model parameters are: yielding and (upper panels); yielding and (middle p...
<p>Four composite Weibull-Gamma models with varying parameters are shown. The shapes depend on the v...
Composition of distribution functions is considered one of the methods that generate new distributio...
A new class of distributions called the log-logistic Weibull–Poisson distribution is introduced and ...
Here we will consider a function of κ-statistics, the κ-Weibull distribution, and compare it to the...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...
<p>Schematic images illustrating the cumulative, rate-based, and cumulative-and-rate-based learning ...
In this paper, a new generalized distribution called the gamma log-logistic Weibull (GLLoGW) distrib...
A new three-parameter generalized distribution, namely, half-logistic generalized Weibull (HLGW) dis...
A review of the author’s findings over four decades will show that the lognormal probability density...
The main purpose in this discussion is to find the distribution function of the sum of independent a...
In recent advances in distribution theory, the Weibull distribution has often been used to generate ...
A Empirical cumulative density function for the stimulus-based condition RTs, plotted separately for...
In this paper, we propose a new three-parameter distribution on the positive real line, called the g...
<p>Different combinations of shape parameters (scale parameters are fixed) for the four different mo...
<p>The values of the model parameters are: yielding and (upper panels); yielding and (middle p...
<p>Four composite Weibull-Gamma models with varying parameters are shown. The shapes depend on the v...
Composition of distribution functions is considered one of the methods that generate new distributio...
A new class of distributions called the log-logistic Weibull–Poisson distribution is introduced and ...
Here we will consider a function of κ-statistics, the κ-Weibull distribution, and compare it to the...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...
<p>Schematic images illustrating the cumulative, rate-based, and cumulative-and-rate-based learning ...
In this paper, a new generalized distribution called the gamma log-logistic Weibull (GLLoGW) distrib...
A new three-parameter generalized distribution, namely, half-logistic generalized Weibull (HLGW) dis...
A review of the author’s findings over four decades will show that the lognormal probability density...
The main purpose in this discussion is to find the distribution function of the sum of independent a...
In recent advances in distribution theory, the Weibull distribution has often been used to generate ...
A Empirical cumulative density function for the stimulus-based condition RTs, plotted separately for...
In this paper, we propose a new three-parameter distribution on the positive real line, called the g...
<p>Different combinations of shape parameters (scale parameters are fixed) for the four different mo...
<p>The values of the model parameters are: yielding and (upper panels); yielding and (middle p...