Nouveau livre d'un chercheur émérite du centre

Un nouveau livre vient de paraître sous la plume (ou le clavier) du professeur Bernard Bobée, professeur émérite du centre Eau Terre Environnement, en collaboration avec le professeur Salah-Eddine El Adlouni de l'Université de Moncton.

Le professeur Bobée a été titulaire de la Chaire en hydrologie statistique de 1993 à 2004. Le professeur El Adlouni, un ancien membre de cette Chaire, enseigne au Département de mathématiques et statistiques de l'Université de Moncton.

Intitulé Halphen Distribition Family with Application in Hydrological Frequency Analysis, l'ouvrage est publié chez WRP LLC, une petite maison spécialisée officiellement basée au Colorado.

Studying the HALPHEN DISTRIBUTION FAMILY was suggested by Professor Jacques Bernier, a visiting scientist at the Chair in Statistical Hydrology. In this book the authors put together theoretical works from the advances that have been made in the last twenty years, such as:

Statistical analysis, which has become an important tool in water resources management and planning, and;
Hydrological frequency analysis, which is a particularly useful method to estimate the probability of occurrence of a given event by fitting a statistical distribution to a sample of independent and identically distributed data.

The desirable statistical properties of these three distributions (complete system and optimal properties of the estimators) motivated the researchers to thoroughly study this system. Chapters 2 to 4 comprehensively discuss each of the three Halphen
distributions:

Mathematical and statistical properties;
Asymptotic behavior and model selection;
Parameter estimation methods.

Chapter 5 is concerned with the simulation and generation of samples from Halphen distributions. Matlab codes for Halphen fitting and generating are included in Chapter 6.

This book will be a useful resource to scientists, engineers, and specialists involved in statistical hydrology and water resources management and planning.

Photo: Joergelman, Pixabay