Statistics Research
| Statistic Research Topics |
Google |
| 1. mathematical statistics | 1. algorithms 2. artificial intelligence |
| 2. regression analysis | 3. compiler optimization, 4. computer architecture |
| 3. design of experiments | 5. computer graphics, 6. data compression |
| 4. discrete data analysis | 7. data mining, 8. file system design |
| 5. statistical quality control | 9. genetic algorithms, 10. information retrieval |
| 6. time series analysis | 11. machine learning, 12. natural language processing |
| 7. nonparametric statistics | 13. operating systems, 14. profiling |
| 8. statistical reliability theory | 15. robotics, 16. text processing |
| 9. multivariate statistical methods | 17. user interface design, 18. web information retrieval |
What is Statistics?
Statistics is the science of the collection, organization, and interpretation of data.
It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments.
A statistician is someone who is particularly well versed in the ways of thinking necessary for the successful application of statistical analysis.
Such people have often gained this experience through working in any of a wide number of fields. There is also a discipline called mathematical statistics, which is concerned with the theoretical basis of the subject. The word statistics, when referring to the scientific discipline, is singular, as in "Statistics is an art."
This should not be confused with the word statistic, referring to a quantity (such as mean or median) calculated from a set of data,
whose plural is statistics ("this statistic seems wrong" or "these statistics are misleading").
Statistics is the study of the collection, organization, analysis, and interpretation of data.
It deals with all aspects of collecting and interpreting data, including the planning of data collection in terms of the design of surveys and experiments.
A statistician is someone who is particularly well versed in the ways of thinking necessary for the successful application of statistical analysis.
Such people have often gained this experience through working in any of a wide number of fields.
There is also a discipline called mathematical statistics, which is concerned with the theoretical basis of the subject.
Probability Statistics