Open AccessBayesian statistical analysis as applied to cloud seeding experiments
Author(s) -
Priti Sharma,
R. Kapoor
Publication year - 1980
Publication title -
mausam
Language(s) - English
Resource type - Journals
ISSN - 0252-9416
DOI - 10.54302/mausam.v31i4.3475
Subject(s) - seeding , cloud seeding , cloud computing , bayesian probability , statistical analysis , computer science , statistical model , environmental science , meteorology , econometrics , statistics , artificial intelligence , mathematics , geography , engineering , aerospace engineering , operating system
Bayesian statistical analysis technique adapted to the evaluation of cloud seeding experiments offers great advantages by enabling to determine not only the direction of the seeding effect but also its magnitude. Since the seeding experiments are carried out sequentially, the technique immensely helps in the decision analysis regarding the period, economics, environmental and social impacts of the experimentation. The technique is elucidated. Results of Indian cloud seeding experiments are computed with this technique and compared with those obtained from powerful classical statistical tests.