Precision Measurement and Calibration: Statistical concepts and procedures, H. H. Ku, edU.S. Government Printing Office, 1968 |
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Page vii
... least " in least squares . Eisenhart , Churchill 5. Statistical Treatment of Measurement Data 265 5.1 . Some basic statistical concepts and preliminary considerations . Natrella , Mary G. , and Eisenhart , Churchill 277 5.2 ...
... least " in least squares . Eisenhart , Churchill 5. Statistical Treatment of Measurement Data 265 5.1 . Some basic statistical concepts and preliminary considerations . Natrella , Mary G. , and Eisenhart , Churchill 277 5.2 ...
Page 4
... least , unique and invariant . If , for example , accuracy within .01 percent is sufficient for our purpose , the target center is the area within the next to the last circle . Our measurements may group on either side of dead center ...
... least , unique and invariant . If , for example , accuracy within .01 percent is sufficient for our purpose , the target center is the area within the next to the last circle . Our measurements may group on either side of dead center ...
Page 10
... least appears to be random . The third plot , while perhaps appearing to be random , obviously lacks the precision of the sec- ond plot . The range of the differences as plotted gives us an idea of the smallest mass difference that can ...
... least appears to be random . The third plot , while perhaps appearing to be random , obviously lacks the precision of the sec- ond plot . The range of the differences as plotted gives us an idea of the smallest mass difference that can ...
Page 16
... least squares . If all is going well , none of these deviations will be too large , and also certain combi- nations of them , such as the sum of the squares , will also be well behaved . For statistical analysis the standard deviation ...
... least squares . If all is going well , none of these deviations will be too large , and also certain combi- nations of them , such as the sum of the squares , will also be well behaved . For statistical analysis the standard deviation ...
Page 21
... least squares " reduction " of measurements of a number of different quantities that bear known relations to " Presented at the 1962 Standards Laboratory Conference , National Bureau of Standards , Boulder , Colo . , August 8-10 , 1962 ...
... least squares " reduction " of measurements of a number of different quantities that bear known relations to " Presented at the 1962 Standards Laboratory Conference , National Bureau of Standards , Boulder , Colo . , August 8-10 , 1962 ...
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Common terms and phrases
adjusted values analysis applied arithmetic mean ASTM average b₁ b₁x bias Bureau of Standards calculated calibration Churchill Eisenhart comparison components computed confidence interval confidence limits constant control chart correct corresponding curve degrees of freedom determinations effect equal equation evaluation example experiment experimental factors Figure formulas gage block given imprecision independent intercept interlaboratory interval estimate labora laboratory large number Least Squares limiting mean linear magnitude mass materials mathematical meas measurement process ment National Bureau normal distribution number of measurements observations obtained operation ORDP pair paper parameters percent plotted points population possible quantity radium standard range ratio relationship reported sample scores sequence Shewhart shown single slope sources specimens standard deviation standard error stations statistical control systematic error Table temperature test procedure tion tory true value uncertainty urement variables variance W. J. Youden W₁ weight
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