Abstract
Practically every information system has to process not a single piece of information but a train of them. Processing the train as a whole we could exploit all properties of its components, particularly any relationships between them, and consequently minimize the information-processing resources required for each component of the train. To process a train as a whole sufficiently large resources must be available. However, the resources are usually limited. Then it is natural to divide the primary train of pieces of information into blocs and to process each bloc separately but according to a rule that takes into account the properties of the whole train. This is called bloc wise processing.
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
Mises von, R., Probability, Statistics and Truth, Dover Publications, N.Y., 1957.
Frank, H., Althoen, S.C., Statistics, Concepts and Application, Cambridge University Press, Cambridge, 1994.
Kotz, S., Johnson, N.L., Encyclopedia of Statistical Sciences, J. Wiley, N.Y., 1988.
Press, W.H., Flannery, B.P., Teukolsy, S.A., Vetterling, W.T., Numerical Recipes, Cambridge University Press, Cambridge, 1992.
Shafer, G., Pearl, J., Readings in uncertain reasoning, Morgan Kaufman Publ. San Mateo CA, 1990.
Kolmogorov, A.N., Foundations of the Theory of Probability, 2-nd ed., Chelsa Publishing Corporation, N.Y., 1956.
Renyi, A., Probability Theory, North-Holland, Amsterdam, 1970.
Billingsley, P., Probability and Measure, J. Viley, N.Y., 1979.
Papoulis, R., Probability, Random Variables, and Stochastic Processes, McGraw-Hill, N.Y., 1991.
Breiman, L., Probability, SIAM Publications, Philadelphia, 1995.
Revesz, P., The Laws of Large Numbers, Academic Press, N.Y., 1960.
Mane, R., Ergodic Theory and Differentiable Systems, Springer Verlag, Berlin, 1978.
Huang, K., Statistical Mechanics, J. Wiley, N.Y., 1966.
Gnedenko, B.V., Kolmogorov, A.N., Limit Distributions of Independent Variables, Addison Vesley, Reading, 1968.
Dagpunar, J., Principles of Random Variate Generation, Clarendon Press, Oxford, 1988.
Yarmolik, V.N., Demidenko, S.,N., Generation and Application of Pseudo-random Sequences for Random Testing, J. Wiley, N.Y., 1988.
Niederreiter, H., Random Number Generation and Quasi-Monte Carlo Methods, SIAM Publications, Philadelphia, 1992.
Devaney, R.L., An Introduction to Chaotic Dynamical Systems, Addison-Wesley, Redwood, 1989.
Rasband, S.N., Chaotic Dynamics of Nonlinear Systems, J. Wiley, N.Y., 1990.
Thompson, E.E., An Introduction to Algebra of Matrices with some Applications, Adam Hilger, London, 1969.
Horn, R.A., Johnson, C.R., Matrix Analysis, Cambridge University Press, Cambridge 1988.
Usmani, R.A., Applied Linear Algebra, Marcel Decker, N.Y, 1987.
Cover, T.M., Thomas, J.A., Elements of Information Theory, J. Wiley, N.Y., 1991.
Blahut, R.E., Principles and Practice in Information Theory, Addison-Wesley, Reading, MA, 1990.
Golomb, S.W., Peile, R.A., Scholtz, R.A., Basic Concepts in Information Theory and Coding, Plenum Press, N.Y., 1994.
Rights and permissions
Copyright information
© 1997 Kluwer Academic Publishers
About this chapter
Cite this chapter
(1997). Statistical State of A System. In: Information Systems and Data Compression. Springer, Boston, MA. https://doi.org/10.1007/978-0-585-27999-2_4
Download citation
DOI: https://doi.org/10.1007/978-0-585-27999-2_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-7923-9953-7
Online ISBN: 978-0-585-27999-2
eBook Packages: Springer Book Archive