Naval Research Logistics Quarterly. Volume 26, Number 2.

Abstract

Contents: Methodology for Studying the Dynamics of Extended Logistic Systems; A Three-Echelon, Multi-Item Model for Recoverable Items; Bayesian Estimation and Optimal Designs in Partially Accelerated Life Testing; Some Bayes Tests and their Asymptotic Properties for the Multivariate, Multisample Goodness-of-Fit Problem; Multiple-Attribute Decision Making With Partial Information--The expected-value criterion; Optimal State-Dependent Pricing Policies for a Class of Stochastic Multiunit Service Systems; On the First Time a Separately Maintained Parallel System has been Down for a Fixed Time; A capacity-Expansion Model for Two Facility Types; On a Single-Server Queue With State-Dependent Service; Approximation Techniques in the Solution of Queueing Problems; Distribution of Sample Correlation Coefficents; Optimal Project Compression with Due-Dated Events; New Analysis of a Lot-Size Model with Partial Backlogging; Optimal Betting Strategies for Favorable Games; and Some Simple Victory-Prediction Conditions for Lanchester-Type Combat between Two Homogeneous Forces with Supporting Fire.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA070635

Entities

Organizations

  • Office of Naval Research

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Science
  • Databases
  • Equations
  • Information Science
  • Knowledge Management
  • Mathematical Models
  • Military Research
  • Operations Research
  • Random Variables
  • Statistical Algorithms
  • Stochastic Processes
  • Surveys
  • Systems Engineering

Fields of Study

  • Mathematics

Readers

  • Logistics and Supply Chain Management.
  • Mathematical Modeling and Probability Theory.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms