Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researchers in analysis and probability theory.

Distribution (Probability theory) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Data processing. --- Mathematical models.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Gibbs measure is a probability measure, which has been an important object in many problems of probability theory and statistical mechanics. It is the measure associated with the Hamiltonian of a physical system (a model) and generalizes the notion of a canonical ensemble. More importantly, when the Hamiltonian can be written as a sum of parts, the Gibbs measure has the Markov property (a certain kind of statistical independence), thus leading to its widespread appearance in many problems outside of physics such as biology, Hopfield networks, Markov networks, and Markov logic networks. Mor

Probability measures. --- Distribution (Probability theory) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Measures, Normalized --- Measures, Probability --- Normalized measures

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Analytical spaces --- Probability theory --- Distribution (Probability theory) --- Linear topological spaces --- 519.213 --- Topological linear spaces --- Topological vector spaces --- Vector topology --- Topology --- Vector spaces --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- 519.213 Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- Measure theory --- Mesure, Théorie de la --- Mesure, Théorie de la. --- Distribution (théorie des probabilités)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Probability theory --- Probabilities --- Probabilités --- Problems, exercises, etc. --- Problèmes et exercices --- Problems, exercises, etc --- 519.213 --- -Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- -Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- 519.213 Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- -519.213 Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- Probability --- Probabilités --- Problèmes et exercices --- Probabilités. --- Probabilities - Problems, exercises, etc

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Extreme environmental events, such as floods, droughts, rainstorms, and high winds, have severe consequences for human society. How frequently an event of a given magnitude may be expected to occur is of great importance. Planning for weather-related emergencies, design of civil engineering structures, reservoir management, pollution control, and insurance risk calculations, all rely on knowledge of the frequency of these extreme events. Estimation of these frequencies is difficult because extreme events are by definition rare and the data record is often short. Regional frequency analysis resolves this problem by "trading space for time"; data from several sites are used in estimating event frequencies at any one site. L-moments are a recent development within statistics. They form the basis of an elegant mathematical theory in their own right and can be used to facilitate the estimation process in regional frequency analysis. L-moments methods are demonstrably superior to those that have been used previously and are now being adopted by many organizations worldwide. This book is the first complete account of the L-moment approach to regional frequency analysis. It brings together results that previously were scattered among academic journals and also includes much new material. Regional Frequency Analysis comprehensively describes the theoretical background to the subject, is rich in practical advice for users, and contains detailed examples that illustrate the approach. This book will be of great value to hydrologists, atmospheric scientists, and civil engineers concerned with environmental extremes.

Distribution (Probability theory) --- Natural disasters --- Natural calamities --- Disasters --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Forecasting --- Statistical methods. --- Forecasting&delete& --- Statistical methods