Bayesian statistical analysis as applied to cloud seeding experiments
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.
How to Cite
Copyright (c) 2021 MAUSAM
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.
Anyone is free:
- To Share - to copy, distribute and transmit the work
- To Remix - to adapt the work.
Under the following conditions:
- Share - copy and redistribute the material in any medium or format
- Adapt - remix, transform, and build upon the material for any purpose, even