Bayesian statistical analysis as applied to cloud seeding experiments

Authors

  • P. N. SHARMA Indian Institute of Tropical Meteorology, Pune
  • R. K. KAPOOR Indian Institute of Tropical Meteorology, Pune

DOI:

https://doi.org/10.54302/mausam.v31i4.3475

Abstract

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.

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Published

1980-10-01

Issue

Vol. 31 No. 4 (1980): MAUSAM

Section

Shorter Contribution

Categories

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How to Cite

[1]
“Bayesian statistical analysis as applied to cloud seeding experiments ”, MAUSAM, vol. 31, no. 4, pp. 581–586, Oct. 1980, doi: 10.54302/mausam.v31i4.3475.