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Title
Statistics in Analytical Chemistry: Part 15—Calibration Example 5
Tuesday, February 01, 2005
David Coleman
Lynn Vanatta
This real-world example of calibration diagnostics involves the ion-chromatographic behavior of phosphoric acid; phosphate is the actual analyte form that is measured by the instrument.
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Statistics in Analytical Chemistry: Part 16—Calibration Example 5 (Concluded)
Sunday, May 01, 2005
David Coleman
Lynn Vanatta
In the previous article (American Laboratory, Feb 2005), calibration data were diagnosed for a study involving phosphate.
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Statistics in Analytical Chemistry: Part 17—Calibration Example 6
Monday, August 01, 2005
David Coleman
Lynn Vanatta
This installment will present the sixth and last in this series of calibration examples.
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Statistics in Analytical Chemistry: Part 18—Calibration Example 6 (Concluded)
Thursday, September 01, 2005
David Coleman
Lynn Vanatta
In the previous article (American Laboratory Aug 2005), borate data were presented. No single model was found to be adequate.
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Statistics in Analytical Chemistry: Part 19—Internal Standards
Thursday, December 01, 2005
David Coleman
Lynn Vanatta
The previous several articles have dealt with calibrationstudy design and calibration-diagnostic procedures.
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Statistics in Analytical Chemistry: Part 20—Recovery Curves
Wednesday, February 01, 2006
David Coleman
Lynn Vanatta
In Part 19 of this series (American Laboratory Dec 2005), the use of an internal standard (IS) was discussed and an example was given.
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Statistics in Analytical Chemistry: Part 21—Recovery Curves and Internal Standards (Concluded)
Saturday, April 01, 2006
David Coleman
Lynn Vanatta
The previous two installments have discussed the issue of nonideal recovery, a problem that occurs in many analytical methods.
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Statistics in Analytical Chemistry: Part 22—Lack-of-Fit Details
Thursday, June 01, 2006
David Coleman
Lynn Vanatta
Because of popular demand from readers, this installment will discuss the principles and calculations that underlie the lack-of-fit (LOF) test.
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Staistics in Analytical Chemistry: Part 28—Statistically Derived Detection Limits
Friday, December 28, 2007
David Coleman
Lynn Vanatta
In the previous article (Part 27, American Laboratory, Sept 2007), the world of detection was shown to revolve around three variables: 1) the detection limit, 2) the probability of false positives, a,...
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Statistics in Analytical Chemistry: Part 29—Statistically Derived Detection Limits (continued)
Thursday, February 28, 2008
David Coleman
Lynn Vanatta
Part 28 (American Laboratory, Nov/Dec 2007) laid the framework for discussing detection limits. The relationship among the detection limit (DL), the probability of false positives (a), and the ...
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Statistics in Analytical Chemistry: Part 30—Statistically Derived Detection Limits (Concluded)
Thursday, July 10, 2008
David Coleman
Lynn Vanatta
In Part 29 (American Laboratory, Feb 2008), Hubaux-Vos detection limits (H-V DLs) were explained and an illustration was given.
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Statistics in Analytical Chemistry: Part 31—Receiver Operating Characteristic (ROC) Curves: Equations
Friday, September 26, 2008
David Coleman
Lynn Vanatta
Please do not despair! This article is not a series of formulas to be memorized.
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Statistics in Analytical Chemistry: Part 32—Detection Limits Via 3-Sigma
Friday, December 05, 2008
David Coleman
Lynn Vanatta
As was mentioned in the first article on detection limits (DLs) (Part 26, American Laboratory, June/July 2007), many formulas exist for calculating these values.
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Statistics in Analytical Chemistry: Part 33—Detection Limits via 3-Sigma (Concluded)
Friday, March 20, 2009
David Coleman
Lynn Vanatta
In the last installment (Part 32, American Laboratory, Nov/Dec 2008) of this series, three detection limits (DLs) were calculated (via the 3-Sigma [3s] approach, where a is set to be 0.01) for a ...
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Statistics in Analytical Chemistry: Part 34—Detection-Limit Summary
Thursday, May 28, 2009
David Coleman
Lynn Vanatta
The subject of detection limits (DLs) is a controversial one, generating many questions and almost endless debate.
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Statistics in Analytical Chemistry: Part 35—Reporting Data and Significant Digits
Thursday, August 20, 2009
David Coleman
Lynn Vanatta
"In almost all cases when dealing with a limit of detection or limit of determination, the primary purpose of determining that limit is to stay away from it.”
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Statistics in Analytical Chemistry: Part 36—Significant Digits (Concluded)
Tuesday, January 26, 2010
David Coleman
Lynn Vanatta
The previous article (Part 35, American Laboratory, Aug 2009) introduced the concept of significant digits, pointing out that a statistically sound treatment will: 1) result in a formula that depends ...
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Statistics in Analytical Chemistry: Part 37—Deviations, Errors, and Intervals (Oh My!)
Thursday, February 18, 2010
David Coleman
Lynn Vanatta
For the past seven years, this column has chiefly presented basic material related to a single theme: regression analysis of analytical data and the associated uncertainty.
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Statistics in Analytical Chemistry: Part 38—Inexact Replicates
Tuesday, May 18, 2010
David Coleman
Lynn Vanatta
In this series of articles, all of the regression discussions to date have assumed that the replicate preparations of a given concentration have been exact.
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Statistics in Analytical Chemistry: Part 39—Inexact Replicates: Example
Thursday, August 12, 2010
David Coleman
Lynn Vanatta
The previous installment (Part 38, American Laboratory, May 2010) outlined the regression-diagnostic steps needed when replicates are not exact.
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