Pages that link to "Item:Q3759756"
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The following pages link to Three-Stage point Estimation Procedures For a Normal Mean (Q3759756):
Displaying 17 items.
- Sensitivity of normal-based triple sampling sequential point estimation to the normality assumption (Q394582) (← links)
- Sequential estimation of linear models in three stages (Q583787) (← links)
- Sequential estimation for prescribed statistical accuracy in stochastic simulation of biological systems (Q733253) (← links)
- Triple stage point estimation for the exponential location parameter (Q1122279) (← links)
- A note on two-stage point estimation in bernoulitrials (Q2706969) (← links)
- Sensitivity Analysis of Multistage Sampling to Departure of an Underlying Distribution from Normality with Computer Simulations (Q2787038) (← links)
- THREE-STAGE POINT ESTIMATION OF THE MEAN IN POSTSTRATIFICATION (Q3148282) (← links)
- Second order properties of accelerated stopping times with applications in sequential estimation (Q3361759) (← links)
- Sequential estimation problems for negative exponential populations (Q3474132) (← links)
- Point estimation of the largest location of k negative exponential populations (Q3490801) (← links)
- Esquentian of the mean by three stage procedure (Q4008955) (← links)
- Two-Stage Procedure Having Exact Third-Order Properties for a Normal Mean (Q4904692) (← links)
- Minimum risk point estimation for a function of a normal mean under weighted power absolute error loss plus cost: First-order and second-order asymptotics (Q5012702) (← links)
- Three-stage minimum risk point estimation with termination defined via Gini’s mean difference (Q5085248) (← links)
- A new formulation of minimum risk fixed-width confidence interval (MRFWCI) estimation problems for a normal mean with illustrations and simulations: Applications to air quality data (Q5089393) (← links)
- A double-sequential sampling scheme (Q5096011) (← links)
- A general theory of three-stage estimation strategy with second-order asymptotics and its applications (Q6133724) (← links)
