𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A New Method for Choosing Sample Size for Confidence Interval–Based Inferences

✍ Scribed by Michael R. Jiroutek; Keith E. Muller; Lawrence L. Kupper; Paul W. Stewart


Book ID
110693707
Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
865 KB
Volume
59
Category
Article
ISSN
0006-341X

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Sample size calculations for smoothing s
✍ Yuedong Wang 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 265 KB

Bayesian confidence intervals of a smoothing spline are often used to distinguish two curves. In this paper, we provide an asymptotic formula for sample-size calculations based on Bayesian confidence intervals. Approximations and simulations on special functions indicate that this asymptotic formula

Sample size determination for constructi
✍ W. Liu; B.J.R. Bailey 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 78 KB

This article determines the sample size required to construct a conÿdence interval for the success probability of an event with preassigned width 2d and conÿdence level 1 -. For = 0:10; 0:05; 0:01 and d = 0:01(0:01)0:05; the sample size is tabulated and the corresponding conÿdence interval deÿned. F

CONFIDENCE INTERVALS FOR DIRECTLY STANDA
✍ MICHAEL P. FAY; ERIC J. FEUER 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 293 KB 👁 2 views

We offer an approximation to central confidence intervals for directly standardized rates, where we assume that the rates are distributed as a weighted sum of independent Poisson random variables. Like a recent method proposed by Dobson, Kuulasmaa, Eberle and Scherer, our method gives exact interval