Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

It's difficult to plan your future sales and success if you don't have any idea what the appetite is in the marketplace for your goods and services. Although there is no perfect way of predicting what ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

The process of using past cost information to predict future costs is called cost estimation. While many methods are used for cost estimation, the least-squares regression method of cost estimation is ...

The high-low method is used in cost accounting to estimate fixed and variable costs based on a business's highest and lowest levels of activity. By focusing on these extremes, the high-low method ...

Imagine you're cooking a new recipe. You have the ingredients, the instructions and the tools. Yet, as you cook, you run into problems: some ingredients need more prep time, the oven heats unevenly ...

The importance of software cost estimation has been increasing gradually over last three decades. Software cost estimation is related to how long and how many people are required to complete a ...

Researchers propose a new method to generate meteorological data that takes into account the interdependence of meteorological factors, such as temperature, humidity, and solar radiation. Due to the ...

Energy storage systems, particularly batteries, are essential in modern energy infrastructure. They power devices such as portable electronics, electric vehicles, and grid storage systems. A key ...