Glossary
- Bayesian:
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The school of statistics that is based on the degree of belief interpretation of probability
- Estimator:
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Any procedure that provides estimates of the value of an unknown quantity
- Inference:
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Body of statistical techniques that deal with the reliability of the estimate that we derive from a set of data
- Likelihood:
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Function indicating how likely a particular population is to produce an observed sample
- Linear model:
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Model specifying a linear relationship between a dependent variable and a set of independent variables
- Mean:
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Arithmetic average of all values
- Population:
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Large set of objects of a similar nature which is of interest
- Sample:
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Portion of the elements of a population
Introduction
Statistics is a branch of mathematics used to summarize, analyze, and interpret data. There are two main branches of statistics: descriptive and inferential. Descriptive statistics is used to...
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References
Bayes T (1763) An essay towards solving a problem in the doctrine of chance. Philos Trans R Soc 53:370–418
Bernardo JM, Smith AFM (1994) Bayesian theory. Wiley, New York
Billingsley P (1995) Probability and measure, 3rd edn. Wiley, New York
Casella G, Berger R (2002) Statistical inference. Duxbury/Pacific Grove, Thomson Learning
Kolmogorov AN (1933) Grundbegriffe der Wahrschein-lichkeitsrechnung. Springer, Berlin
Lehmann EL (1951) A general concept of unbiasedness. Ann Math Stat 22(4): 587–592
Lehmann EL, Casella G (1998) Theory of point estimation (Springer texts in statistics), 2nd edn. Springer, New York
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Gollini, I. (2014). Theory of Statistics, Basics, and Fundamentals. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_171
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