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Encountered data, statistical ecology, environmental statistics, and weighted distribution methods
Author(s) -
Patil Ganapati P.
Publication year - 1991
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.3770020402
Subject(s) - computer science , inference , statistical inference , environmental data , context (archaeology) , data science , distribution (mathematics) , statistics , ecology , data mining , geography , artificial intelligence , mathematics , biology , mathematical analysis , archaeology
Abstract We have begun to experience in data gathering and analysis in modern ecological and environmental work a space age/stone age syndrome. Also we are challenged to break into the cycle of no information, new information, and non‐information while dealing with soft data, hard looks, and prudent decision‐making involving errors of the third and the fourth kind in addition to those of the first and the second type. Weighted distribution methods arise in the context of data gathering, modeling, inference, and computing, and help provide a unified approach in dealing with encountered data.