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This Concept Map, created with IHMC CmapTools, has information related to: Reasons_10, 2.3. Sets of typical conditions (scenarios) for applicability One sort of conditions input data conditioning, 3.5. Individualization (number of monitored parameters) for forecast method low clear result reading, 5.13. Check procedure of statistical significance not perform search for weak signal, 5.10. Smoothing of influence of errors applied clear result reading, 3.5. Individualization (number of monitored parameters) for forecast method many 5.16. Size of error of forecast, 3.5. Individualization (number of monitored parameters) for forecast method high 5.1. Criteria of method, 4.1. Stage of error searching output measurement of difference to other results, 5.5. Number of measurement methods of error multiple clear result reading, 5.11. Number of methods for error measures more then one method 5.5. Number of measurement methods of error, 4.4. Relevancy of variables used in forecast for variables relevant 2.4. Number of source data for forecast test, 3.3. Update state of original data series updated 5.14. Distance from undertook policy for system existence, 5.7. Bias of error measure subjective interpretation, 4.3. Subject of replication similar interpretation, 5.6. Measure of error closely interpretation, 5.8. Detail level of inspection for analysis of outliers overall method's rules/techniques particularities, 3.2. Pre-treatment for data series not done clear result reading, 5.2. Interpretation of assumptions deny method's rules/techniques particularities, A1.4. Criteria for method selection non formal reliability, 5.7. Bias of error measure subjective clear result reading, A1.5. Correlation of results from other approaches high method's rules/techniques particularities