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Lynn Vanatta
Lynn Vanatta
Lynn Vanatta
is an Analytical Chemist and long-time contributor of the Statistics in Analytical Chemistry articles with co-author David Coleman.
Questions? Comments? She can be reached at:
[email protected]
Articles by Lynn Vanatta
Statistics in Analytical Chemistry: Part 38—Inexact Replicates
Tuesday, May 18, 2010
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 37—Deviations, Errors, and Intervals (Oh My!)
Thursday, February 18, 2010
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 36—Significant Digits (Concluded)
Tuesday, January 26, 2010
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 35—Reporting Data and Significant Digits
Thursday, August 20, 2009
"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 34—Detection-Limit Summary
Thursday, May 28, 2009
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 33—Detection Limits via 3-Sigma (Concluded)
Friday, March 20, 2009
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 32—Detection Limits Via 3-Sigma
Friday, December 05, 2008
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 31—Receiver Operating Characteristic (ROC) Curves: Equations
Friday, September 26, 2008
Please do not despair! This article is not a series of formulas to be memorized.
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Statistics in Analytical Chemistry: Part 30—Statistically Derived Detection Limits (Concluded)
Thursday, July 10, 2008
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 29—Statistically Derived Detection Limits (continued)
Thursday, February 28, 2008
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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Staistics in Analytical Chemistry: Part 28—Statistically Derived Detection Limits
Friday, December 28, 2007
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 27—Receiver Operating Characteristic (ROC) Curves
Saturday, September 01, 2007
Consider the following algebraic equation: 5x + 11y + 39z = 106 Since this single expression has three unknowns, there are many possible solutions; a single exact solution cannot be found.
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Statistics in Analytical Chemistry: Part 26—Detection Limits: Editorial Comments and Introduction
Friday, June 01, 2007
We believe that detection limits (DLs) should go away.
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Statistics in Analytical Chemistry: Part 25—Calibration Summary
Thursday, February 01, 2007
In a modern chemical-analysis laboratory, virtually all of the testing equipment must be calibrated periodically.
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Statistics in Analytical Chemistry: Part 24—Glossary
Friday, December 01, 2006
Since the beginning of this series of articles, the central topic has been calibration and its associated uncertainty.
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