Optimization of Statistical Decisions for Age Replacement Problems via a New Pivotal Quantity Averaging Approach

American Journal of Theoretical and Applied Statistics
doi 10.11648/j.ajtas.s.2016050201.14
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Science Publishing Group

Related search

A Novel Intelligent Technique of Invariant Statistical Embedding and Averaging via Pivotal Quantities for Optimization or Improvement of Statistical Decision Rules Under Parametric Uncertainty

WSEAS Transactions on Mathematics
ControlStatisticsProbabilityAlgebraCombinatoricsEndocrinologyApplied MathematicsNumber TheoryManagement ScienceOptimizationDiscrete MathematicsComputational MathematicsMetabolismOperations ResearchDiabetes
2020English

A New Simple Algorithm for Solution of Optimization Problems

Journal of International Studies
SociologyBusinessEconomicsInternational ManagementEconometricsPolitical ScienceSocial Sciences
2018English

A Dynamic Programming Approach for a Class of Robust Optimization Problems

SIAM Journal on Optimization
Theoretical Computer ScienceSoftware
2016English

A New Solution Method via the Exterior Penalty Approach for Constrained Bilevel Programming Problems

Transactions of the Society of Instrument and Control Engineers
1987English

Remarks on Statistical Inference for Statistical Decisions

2019English

A New Variant of Teaching Learning Based Optimization Algorithm for Global Optimization Problems

Informatica (Slovenia)
Theoretical Computer ScienceComputer Science ApplicationsArtificial IntelligenceSoftware
2019English

A Hybrid Approach for Solving Dynamic Bi-Level Optimization Problems

Computacion y Sistemas
Computer Science
2018English

A New Formulation Approach for Location-Routing Problems

Networks and Spatial Economics
Computer NetworksSoftwareArtificial IntelligenceCommunications
2012English

A New Combinatorial Approach for Sparse Graph Problems

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy