Applied Statistics Discipline
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An Applied Statistics Discipline is an applied mathematics discipline for the applied statistics domain (that studies applied statistics tasks).
- Example(s):
- Counter-Example(s):
- See: Biostatistics, Data Mining Discipline, Entropy, Statistics, Actuarial Science, Insurance, Finance, Astrostatistics, Biostatistics, Biology, Medical Statistics, Business Analytics, Chemometrics, Chemistry.
References
2016
- (Wikipedia, 2016) ⇒ http://wikipedia.org/wiki/List_of_fields_of_application_of_statistics Retrieved:2016-3-22.
- Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical theory and methods to various disciplines. Certain topics have "statistical" in their name but relate to manipulations of probability distributions rather than to statistical analysis.
- Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in the insurance and finance industries.
- Astrostatistics is the discipline that applies statistical analysis to the understanding of astronomical data.
- Biostatistics is a branch of biology that studies biological phenomena and observations by means of statistical analysis, and includes medical statistics.
- Business analytics is a rapidly developing business process that applies statistical methods to data sets (often very large) to develop new insights and understanding of business performance & opportunities
- Chemometrics is the science of relating measurements made on a chemical system or process to the state of the system via application of mathematical or statistical methods.
- Demography is the statistical study of all populations. It can be a very general science that can be applied to any kind of dynamic population, that is, one that changes over time or space.
- Econometrics is a branch of economics that applies statistical methods to the empirical study of economic theories and relationships.
- Environmental statistics is the application of statistical methods to environmental science. Weather, climate, air and water quality are included, as are studies of plant and animal populations.
- Epidemiology is the study of factors affecting the health and illness of populations, and serves as the foundation and logic of interventions made in the interest of public health and preventive medicine.
- Geostatistics is a branch of geography that deals with the analysis of data from disciplines such as petroleum geology, hydrogeology, hydrology, meteorology, oceanography, geochemistry, geography.
- Machine Learning
- Operations research (or Operational Research) is an interdisciplinary branch of applied mathematics and formal science that uses methods such as mathematical modeling, statistics, and algorithms to arrive at optimal or near optimal solutions to complex problems.
- Population ecology is a sub-field of ecology that deals with the dynamics of species populations and how these populations interact with the environment.
- Psychometric is the theory and technique of educational and psychological measurement of knowledge, abilities, attitudes, and personality traits.
- Quality control reviews the factors involved in manufacturing and production; it can make use of statistical sampling of product items to aid decisions in process control or in accepting deliveries.
- Quantitative psychology is the science of statistically explaining and changing mental processes and behaviors in humans.
- Reliability Engineering is the study of the ability of a system or component to perform its required functions under stated conditions for a specified period of time
- Statistical finance, an area of econophysics, is an empirical attempt to shift finance from its normative roots to a positivist framework using exemplars from statistical physics with an emphasis on emergent or collective properties of financial markets.
- Statistical mechanics is the application of probability theory, which includes mathematical tools for dealing with large populations, to the field of mechanics, which is concerned with the motion of particles or objects when subjected to a force.
- Statistical physics is one of the fundamental theories of physics, and uses methods of probability theory in solving physical problems.
- Statistical Signal Processing.
- Statistical thermodynamics is the study of the microscopic behaviors of thermodynamic systems using probability theory and provides a molecular level interpretation of thermodynamic quantities such as work, heat, free energy, and entropy.
- Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical theory and methods to various disciplines. Certain topics have "statistical" in their name but relate to manipulations of probability distributions rather than to statistical analysis.
2015
- (Chamandy et al., 2015) ⇒ Nicholas Chamandy, Omkar Muralidharan, and Stefan Wager. (2015). “Teaching Statistics at Google-Scale.” In: The American Statistician, 69(4).
2009
- http://conferences.nib.si/AS2009/ Applied Statistics 2009 International Conference/
- Papers from diverse areas of statistics and methodology are appreciated:
- Biostatistics
- Bioinformatics
- Data Collection
- Data Mining
- Design of experiments
- Econometrics
- Mathematical Statistics
- Measurement
- Modeling and Simulation
- Network Analysis
- Sampling Techniques
- Social Science Methodology
- Statistical Applications
- Statistical Education
- Other Areas of Statistics
- Besides new or improved statistical methods, cross-discipline and applied paper submissions are especially welcome.
- Papers from diverse areas of statistics and methodology are appreciated:
- http://www.wiley.com/bw/journal.asp?ref=0035-9254 Journal of the Royal Statistical Society: Series C (Applied Statistics)
- QUOTE: The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).
A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice.
- QUOTE: The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).
- http://www.tandf.co.uk/journals/titles/02664763.asp Journal of Applied Statistics
- Subjects: Business Mathematics; Mathematical Statistics; Medical Statistics; Statistical Theory & Methods; Statistics; Statistics for Social Sciences; Statistics for the Biological Sciences;
- Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees. Each issue aims for a balance of methodological innovation, thorough evaluation of existing techniques, case studies, speculative articles, book reviews and letters.