𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fitting meteorological extremes by various distributions

✍ Scribed by I. I. Gringorten

Publisher
John Wiley and Sons
Year
1962
Tongue
English
Weight
372 KB
Volume
88
Category
Article
ISSN
0035-9009

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Meteorologists often fit extreme values by the double‐exponential distribution, the limiting form of distributions of the exponential type. But distributions of some extremes, such as the lowest annual temperatures (1875–1960) at Washington, D.C., fall well short of the limiting form. Alternative means of fitting sets of extreme values are proposed. For data such as the highest January temperature at Washington, an extra physical phenomenon appears to restrict the magnitude of the largest values.

πŸ“œ SIMILAR VOLUMES

Empirical models for evaluating errors i
Empirical models for evaluating errors in fitting extremes of a probability distribution
✍ Jun Bai; Anthony J. Jakeman; Michael McAleer πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 366 KB

The paper examines how empirical models can be constructed to describe the dependence of the error in fitting data to parametric models of probability distributions on the type of distribution, sample size, parent parameter values and percentiles of interest. Such models are important in evaluating

On the description of micropore distribu
On the description of micropore distributions by various mathematical models
✍ H.F. Stoeckli πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 318 KB

Key Words -Micropore distributions, active carbons Jaroniec and Choma [l] recently compared the micropore distributions based on their adsorption isotherm [2,3] and the distribution used by Dubinin [4]. We feel that their interesting paper calls for some comments, which may lead to a possible genera