|By Subject > Science and Mathematics > Mathematics > Probability and Statistics > 2 > Experimental Statistics|
Formulated to assist scientists and engineers engaged in army ordnance research and development programs, this well-known and highly regarded handbook is a ready reference for advanced undergraduate and graduate students as well as for professionals seeking engineering information and quantitative data for designing, developing, constructing, and testing equipment. Topics include characterizing and comparing the measured performance of a material, product, or process; general considerations in planning experiments; statistical techniques for analyzing extreme-value data; use of transformations; and many other practical methods. 1966 edition. Index. 52 figures. 76 tables.
|Author:||Mary Gibbons Natrella|
|Contents:||Click to View|
|Dimensions:||8 3/8 x 11|
Unabridged republication of the corrected edition published by the National Bureau of Standards, Washington, 1966.
|Ready to Buy?|
Add this to your cart
(you can always remove it later.)
Shopping here is Guaranteed Safe!
|Here's a sample of other Dover titles that may interest your customers.|
|The Foundations of Statistics|
by Leonard J. Savage
Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.
by Vijay K. Rohatgi
This treatment of probability and statistics examines discrete and continuous models, functions of random variables and random vectors, large-sample theory, more. Hundreds of problems (some with solutions). 1984 edition. Includes 144 figures and 35 tables.
|Some Theory of Sampling|
by William Edwards Deming
An analysis of the problems, theory, and design of sampling techniques; assumes only college-level algebra. "The 'bible' of sampling statisticians." — American Statistical Association Journal. 1950 edition. read more
|Outline of Basic Statistics: Dictionary and Formulas|
by John E. Freund
Frank J. Williams
Handy guide includes a 70-page outline of essential statistical formulas covering grouped and ungrouped data, finite populations, probability, and more, plus over 1,000 clear, concise definitions of statistical terms. 1966 edition. read more
|Principles of Statistics|
by M. G. Bulmer
Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers. read more