This work describes the selection, design, theory, and application of tests for normality. It covers robust estimation, test power, and univariate and multivariate normality. It contains tests for multivariate normality and coordinate-dependent and invariant approaches.
Gaussian processes can be viewed as a far-reaching infinite-dimensional extension of classical normal random variables. Their theory presents a powerful range of tools for probabilistic modeling in various academic and technical domains such as Statistics, Forecasting, Finance, …
A common tendency in the field of population ecology has been to overlook individual differences by treating populations as homogeneous units; conversely, in behavioral ecology the tendency has been to concentrate on how individual behavior is shaped by evolutionary forces, but …
A common tendency in the field of population ecology has been to overlook individual differences by treating populations as homogeneous units; conversely, in behavioral ecology the tendency has been to concentrate on how individual behavior is shaped by evolutionary forces, but …
Throughout the twentieth century, biologists investigated the mechanisms that stabilize biological populations, populations which--if unchecked by such agencies as competition and predation--should grow geometrically. How is order in nature maintained in the face of the seemingl…
Throughout the twentieth century, biologists investigated the mechanisms that stabilize biological populations, populations which--if unchecked by such agencies as competition and predation--should grow geometrically. How is order in nature maintained in the face of the seemingl…
Randomized trials are the gold standard for assessing causal relationships between an intervention and a clinical outcome. The challenge with randomized trials is that they are very expensive to perform, often take place at different times and locations, take many years to compl…
Nowadays, the concept of personalization has gained huge popularity and every decision maker would like to optimize the decisions by exploiting personal data. Personalized decision making has been applied to scenarios including web content recommendation, clinical trials, hiring…