Abstract
Statistical analyses are necessary whenever decisions are to be made on the basis of probabilistic data. The conceptual framework for statistics is the assumed existence of an underlying probability space and knowledge is desired regarding the unknown probability law. Furthermore, estimates regarding the probability law are to be made on the basis of the outcome(s) of some random variable(s). This chapter is divided into several major topics. Each topic should be a chapter in itself but the intention is to simply review the material assuming a previous exposure to statistics.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abramowitz, M., and Stegun, I.A., editors (1970). Handbook of Mathematical Functions, Dover Publications, Inc., New York.
Hayter, A.J. (2007). Probability and Statistics for Engineers and Scientists, Thomason, Belmont, CA.
Law, A.M. (2007). Simulation Modeling and Analysis, 4th ed., McGraw Hill, Boston.
Stephens, M.A. (1986). Goodness-of Fit Techniques, R. B. D’Agostino and M. A. Stephens (eds.), Marcel Dekker, New York, pp. 97–193.
Welford, B.P. (1962). Note on a Method for Calculating Corrected Sums of Squares and Products. Technometrics, 4:419–420.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Feldman, R.M., Valdez-Flores, C. (2010). Basic Statistical Review. In: Applied Probability and Stochastic Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05158-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-05158-6_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05155-5
Online ISBN: 978-3-642-05158-6
eBook Packages: EngineeringEngineering (R0)