@Article{AJ_2015.03.02.STAT.02,
    doi     = { 10.17093/aj.2015.3.2.5000140055 },
    author  = { Sinan Apak },
    title   = { A Bayesian Approach Proposal For Inventory Cost and Demand Forecasting },
    abstract = { Technology’s perpetual vicissitude and product models’ distinction in industrial market have a crucial effect on forecasting demand for spare components. In order to set forth the future demand rates for products, inventory managers repetitively update their prognostications. Bayesian model is utilizing a prior probability distribution for the injunctive authorization rate which was habituated in order to get optimum levels of account over a number of periods. However, under sundry demand rates like intermittent demand, Bayesian Model’s performance has not been analyzed. With the help of a research question, the study investigates that circumstance. }
    journal = { Alphanumeric Journal },
    year    = { 2015 },
    volume  = { 3 },
    number  = { 2 },
    pages   = { 41-48 },
    url     = { https://alphanumericjournal.com/article/a-bayesian-approach-proposal-for-inventory-cost-and-demand-forecasting },
}