By Gary L. Tietjen
Statistics is the authorized physique of tools for summarizing or describing info and drawing conclusions from the precis measures. every body who has facts to summarize therefore wishes a few wisdom of records. step one in gaining that wisdom is to grasp the pro jargon. This dictionary is geared to supply greater than the standard string of remoted and autonomous definitions: it presents additionally the context, purposes, and comparable terminology. The meant viewers falls into 5 teams with particularly diversified wishes: (1) specialist statisticians who have to keep in mind a definition, (2) scientists in disciplines except facts who want to know the suitable tools of summarizing info, (3) scholars of facts who have to develop their knowl fringe of their material and make consistent connection with it, (4) managers who may be analyzing statistical reviews written by way of their staff, and (5) newshounds who have to interpret govt or medical stories and transmit the data to the public.
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Praise for the 1st Edition
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Additional resources for A Topical Dictionary of Statistics
The very important topic of nonparametric statistics is well covered in Conover, W. J. 1980. Practical Nonparametric Statistics. 2nd ed. New York: Wiley and Sons. 5 Regression A common problem is that of estimating a linear relationship between 2 variables, x and y. If an electrician charges a flat fee 130 plus a fixed amount 131 per outlet when he wires a house, the relationship can be expressed as y = 130 + 131x, where y is his total fee and x is the number of outlets. There is no error in the fee because we can count the number of outlets.
For 8 > 0, 8 is a scale parameter if the Estimation and Hypothesis Testing 33 distribution of xla is independent of a. That requires thatf(x;a) be expressible as (l/a)h(xla) for some density h(x) in which awill equal I. A shape parameter is a parameter in a pdf that is neither a location nor a scale parameter; it will affect the shape of the members of the family of distributions. 2 exp( -x2 /2) is a density. For the same reason, (T2 is a scale parameter. In the gamma distribution the parameter r is a shape parameter.
Prentice-Hall. A good step-by-step text in simple linear regression and hypothesis testing is Natrella, M. G. 1963. Experimental Statistics, NBS Handbook 91, Govt. C. A book with valuable information on less-standard techniques is Hahn, G. , and Shapiro, S. S. 1967. · The 2 classics in mathematical statistics are Mood, A. , Graybill, F. , and Boes, D. C. 1974. Introduction to the Theory of Statistics. 3rd ed. New York: McGraw-Hill, and Hogg, R. , and Craig, A. T. 1978. Introduction to Estimatlon and Hypothesis Testing 45 Mathematical Statistics, 4th ed.
A Topical Dictionary of Statistics by Gary L. Tietjen