Weighing [Bioanalytics]
Dear ElMaestro!
Yes!
Your intuition essentially told you the right thing. In bioanalytics variance is never constant. When weighing was not possible due to computational limitations (the famous TI-59 and HP-41 were top instruments then) analysts went for logarithmic spacing. To be honest I started with eye-ball regression by means of graph paper and a transparent ruler.
Even today people are disappointed that weighted regression is not available in M$-Excel.
Actually nobody goes with equidistant calibrators if more than one order of magnitude is covered, so it’s difficult to tell. Like you I would expect that logarithmic spacing would more often lead to a unweighted fit of proper ‘quality’ (based on back-calculations).
❝ I will try to "reformulate" (that's a forbidden word otherwise!)
❝ The weighting scheme I encounter now and then is the 1/x or 1/x2. Lets for the time being forget the 1/y or 1/y2 (which deserves discussion in another thread).
Yes!
❝ […] the choice of weights has to do with variabilities […]
❝ Therefore, my intuition tells me that your equation is intended for a situation with no weights and where the variability is not constant.
Your intuition essentially told you the right thing. In bioanalytics variance is never constant. When weighing was not possible due to computational limitations (the famous TI-59 and HP-41 were top instruments then) analysts went for logarithmic spacing. To be honest I started with eye-ball regression by means of graph paper and a transparent ruler.
Even today people are disappointed that weighted regression is not available in M$-Excel.
Actually nobody goes with equidistant calibrators if more than one order of magnitude is covered, so it’s difficult to tell. Like you I would expect that logarithmic spacing would more often lead to a unweighted fit of proper ‘quality’ (based on back-calculations).
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Regarding US FDA guidelines sri 2009-07-09 13:01 [Bioanalytics]
- Calibration curve issues Helmut 2009-07-09 13:48
- Calibration curve issues ElMaestro 2009-07-09 18:38
- Weighing Helmut 2009-07-09 19:24
- Weighing ElMaestro 2009-07-09 20:06
- WeighingHelmut 2009-07-09 21:00
- Weighing or weighting ? Ohlbe 2009-07-10 10:33
- Weighting! Helmut 2009-07-10 14:07
- Weighting! yjlee168 2009-07-16 12:05
- Weighting! Helmut 2009-07-10 14:07
- Weighing or weighting ? Ohlbe 2009-07-10 10:33
- WeighingHelmut 2009-07-09 21:00
- Weighing ElMaestro 2009-07-09 20:06
- Weighing Helmut 2009-07-09 19:24
- Calibration curve issues ElMaestro 2009-07-09 18:38
- Calibration curve issues Helmut 2009-07-09 13:48