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We offer the best Quantitative methods for management assignment help.

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The exhaustive list of topics in Quantitative Methods For Management in which we provide Help with Homework Assignment and Help with Project is as follows:

An analytical  scientific approach to Problem solving, An analytical scientific approach to Problem solving modeling process for Managerial Decision Making

Statistics for Management: Measures of Cente:ral Tendency & Dispersion

Probability, Bayes Theorem & Applications

Probability Distributions: Binomial, Poisson, Normal & Exponential

  • Collection and analysis of data:
    • Sampling & Sampling Distributions
    • Testing of Hypothesis ( z-,t-,Chi square, f- test)
    • Correlation, Regression & Multivariate Analysis
  • Decision making and quantitative techniques:
    • Forecasting methods & Time Series Analysis
    • Stochastic process
    • Decision Analysis: Decision Trees& Utility Theory
    • Decision Making under uncertainty
    • Decision Making under risk
    • Decision Making under certainty
    • Decision Making under conflict ( Game Theory)
  • Linear programming formulation and solution:
    • Linear Programming
    • Graphical & Simplex method
    • Dual simplex, Sensitivity Analysis & Duality
    • Integer Linear Programming
    • Transportation, Transshipment & Assignment Models
  • Multi-criteria Decision making tools:
    • Multi-criteria Decision making
    • Linear Goal Programming
    • Scoring Models, Fuzzy outranking
    • AHP (Analytic Hierarchy Process) concepts & applications
    • ANP ( Analytic Network Process)
  • Inventory and queuing management:
    • Inventory models ( static, dynamic, probabilistic & stochastic)
    • Waiting Line / Queuing models  steady state operation( M/M/1)
    • Simulation concepts & applications for inventory & Queuing situations
    • Network models; shortest route, maximal flow problem
  • Advance quantitative methods:
    • PERT& CPM Techniques & Applications
    • Glimpses of Meta-heuristics
    • Tabu, Simulated Annealing & Genetic algorithm
    • Markov chains & Decision Processes
    • Sequencing, Dynamic Programming
    • Nonlinear Programming ( Quadratic & Geometric Programming)