Zobrazeno 1 - 10
of 19
pro vyhledávání: '"G. Shanker Rao"'
Autor:
Kumar Molugaram, G Shanker Rao
Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and
Autor:
G. Shanker Rao, Kumar Molugaram
This chapter introduces an overview of statistical applications to transportation engineering. It gives an introductory idea on various aspects of statistics such as discrete and continuous functions, distributions describing randomness, and data org
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65adeea4af6ed91526e7eb79e931cf92
https://doi.org/10.1016/b978-0-12-811555-8.00001-5
https://doi.org/10.1016/b978-0-12-811555-8.00001-5
Autor:
Kumar Molugaram, G. Shanker Rao
This chapter explains about the Hypothesis testing. Sampling theory deals with two types of problems viz.: estimating and testing of hypothesis. The theory of probability plays an important role in decision-making and the branch of statistics which h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::817dcf4a978323b531265000f8ce30bc
https://doi.org/10.1016/b978-0-12-811555-8.00008-8
https://doi.org/10.1016/b978-0-12-811555-8.00008-8
Autor:
G. Shanker Rao, Kumar Molugaram
Analysis of variance of is a technique for testing hypothesis. It is also a very useful tool for obtaining estimates of various parameters, or functions of the parameters involved in the two models. In this chapter we introduce one-way ANOVA and two-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882b08fe164d083a70d976f02d17ae4f
https://doi.org/10.1016/b978-0-12-811555-8.00011-8
https://doi.org/10.1016/b978-0-12-811555-8.00011-8
Autor:
Kumar Molugaram, G. Shanker Rao
This chapter introduces a set of basic statistical measures for describing data. Data generally consists of an extensive number of observations that are too complicated to be understood through observation. In order to respond to new challenges in tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82144b9da3093526be93a430eaa10798
https://doi.org/10.1016/b978-0-12-811555-8.00002-7
https://doi.org/10.1016/b978-0-12-811555-8.00002-7
Autor:
Kumar Molugaram, G. Shanker Rao
This chapter discusses about the chi-square distribution. Basically chi-square distribution is the measure of which enables us to find out the degree of degree of discrepancy between the observed and expected frequencies. In this chapter we discuss t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd4b87bc9b3cde2a5742111d38df304
https://doi.org/10.1016/b978-0-12-811555-8.00009-x
https://doi.org/10.1016/b978-0-12-811555-8.00009-x
Autor:
Kumar Molugaram, G. Shanker Rao
Index numbers are the statistical devises designed to measure the relative changes in the level of a certain phenomenon. They are known as specialized averages and are expressed in percentages. They measure the pressure of economic activities of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e17b20a5bc3e53fcc8455b050f1c28
https://doi.org/10.1016/b978-0-12-811555-8.00013-1
https://doi.org/10.1016/b978-0-12-811555-8.00013-1
Autor:
G. Shanker Rao, Kumar Molugaram
Population in statistics means the whole of the information, which comes under the purview of statistical investigation. Sample is a selected portion of the population. A sample drawn from a population provides valuable information about its parent p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::622d4e5050502d2fba2559a05933c56f
https://doi.org/10.1016/b978-0-12-811555-8.00007-6
https://doi.org/10.1016/b978-0-12-811555-8.00007-6
Autor:
Kumar Molugaram, G. Shanker Rao
Random variables are real numbers defined on sample spaces associated with experiments in which the outcomes are uncertain. Random variables may be discrete or continuous. The joint distributions, Binomial distribution, Poisson distribution, Normal d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::067d548c776ce368551c176e4cca168a
https://doi.org/10.1016/b978-0-12-811555-8.00004-0
https://doi.org/10.1016/b978-0-12-811555-8.00004-0
Autor:
Kumar Molugaram, G. Shanker Rao
The process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints is curve fitting. Fitted curves can be used as an aid for data visualization, to infer values of a functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d489e709029f2e9f89c209a1265b975f
https://doi.org/10.1016/b978-0-12-811555-8.00005-2
https://doi.org/10.1016/b978-0-12-811555-8.00005-2