Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 7,
  • Issue 1,
  • pp. 5-11
  • (1953)

The Application of Statistical Methods to Problems of Standardization

Not Accessible

Your library or personal account may give you access

Abstract

Those unfamiliar with statistical methods tend to over-estimate their usefulness. To this group let it be pointed out that (1) statistics <i>alone</i> cannot take the place of rational physical theory in developing a good analytical method; (2) statistics <i>alone</i> cannot take the place of careful procedure and manipulations in carrying through a method; and (3) statistics <i>alone</i> cannot improve the results obtained by a particular method regardless of how poor the results may be. Thus, statistics is by no means a magic wand which permits the chosen few who possess it to use any sample preparation, any excitation, any spectrograph, any development procedure, any densitometer, any spectrum lines, in fact, any old method at all, yet always get the right answer by squaring a few numbers and dividing by something or other.

PDF Article
More Like This
Application of statistical methods to the determination of slope in lidar data

David N. Whiteman
Appl. Opt. 38(15) 3360-3369 (1999)

Application of a wavelet-Galerkin method to the forward problem resolution in fluorescence Diffuse Optical Tomography

Anne Landragin-Frassati, Stéphane Bonnet, Anabela Da Silva, Jean-Marc Dinten, and Didier Georges
Opt. Express 17(21) 18433-18448 (2009)

Statistics of the slope-method estimator

Francesc Rocadenbosch, Adolfo Comerón, and Lorena Albiol
Appl. Opt. 39(33) 6049-6057 (2000)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.