School of Pure and Applied Sciences, Mount Kenya University, Thika, Kenya. The Exponential distribution is a commonly used parametric model in survival analysis. It assumes that the time to event ...
Abstract: In this paper, we present a pipelined, high throughput single precision floating point implementation of the exponential function with a latency of 19 cycles. We also present the Application ...
Recent work uses a simplistic approximation to the matrix exponential derivative to apply gold-standard models from evolutionary biology to a collection of challenging data analyses. Whereas one may ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
What distribution function best fits that of the stars’ heights above the Galactic plane? Can truncated distributions improve the fit? In order to answer the above questions, we derive the probability ...
Abstract: We present new exponential bounds for the Gaussian Q-function or, equivalently, of the complementary error function er f c(.). More precisely, the new bound ...
The "Adaptive Stock Predictor" application is designed to provide accurate stock price forecasts using four different models: Prophet, Linear Regression, Double Exponential Smoothing, and Triple ...
Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...