Apples are pears by comparing the weight [Two-Stage / GS Designs]
Dear Helmut,
❝ 100 84.6 99.2

What's your expected N?
BTW: ? cumsum.
❝ The line
❝ res[j, 7] <- sprintf("%.0f", max(cum))
❝ should be replaced by
❝ res[j, 7] <- sprintf("%.1f", (1-tmp1$pct_s2/100)*n[1] +
❝
❝ E[N]
❝ expected N GSD TSD
❝ ───────────────────────
❝ 100 84.6 99.2
❝ Interesting.

What's your expected N?
BTW: ? cumsum.
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- Adaptive TSD vs. “classical” GSD Helmut 2015-11-27 19:05 [Two-Stage / GS Designs]
- Adaptive TSD vs. “classical” GSD ElMaestro 2015-11-27 19:54
- “classical” GSD - E[n] d_labes 2015-11-30 11:15
- Apples are pears by comparing the weight Helmut 2015-12-01 16:35
- Apples are pears by comparing the weightd_labes 2015-12-03 09:16
- Apples are pears by comparing the weight Helmut 2015-12-03 13:10
- Oranges d_labes 2015-12-03 13:56
- Apples are pears by comparing the weight Helmut 2015-12-03 13:10
- Apples are pears by comparing the weightd_labes 2015-12-03 09:16
- Apples are pears by comparing the weight Helmut 2015-12-01 16:35
- Adaptive TSD vs. “classical” GSD Ben 2015-12-02 19:27
- Adaptive TSD vs. “classical” GSD Helmut 2015-12-03 03:11
- “classical” GSD alpha's d_labes 2015-12-03 09:47
- N sufficiently large‽ Helmut 2015-12-03 14:56
- An other one with 0.0304 d_labes 2015-12-03 16:15
- An other one with 0.0304 Helmut 2015-12-03 16:26
- An other one with 0.0304 d_labes 2015-12-03 16:15
- N sufficiently large‽ Helmut 2015-12-03 14:56
- Adaptive TSD vs. “classical” GSD Ben 2016-01-10 12:43
- “classical” GSD alpha's d_labes 2015-12-03 09:47
- Adaptive TSD vs. “classical” GSD Helmut 2015-12-03 03:11