With a practical, applied orientation, this book presents and integrates in a single source
important methods and tools used in the fields of industrial engineering, human factors, and …

Soft computing is progressively gaining presence in the financial world. The number of real
and potential applications is very large and, accordingly, so is the presence of applied …

The detection of changes in a process within shortest time provides significant benefits in
terms of cost and quality. When considering the cost which would show up because of …

Bu çalışmanın amacı Markov zincirleri ile gelecekteki hisse senedi fiyat hareketlerinin
tahmin edilmesidir. Araştırmada İMKB 10 Bankacılık endeksine dahil on adet hisse …

This chapter provides an overall perspective on human decision making to human factors
practitioners, developers of decision tools, product designers, and others who are interested …

Traditional statistical methods pose challenges in data analysis due to irregularity in the
financial data. To improve accuracy, financial researchers use machine learning …

This chapter focuses on the broad topic of human decision making. The topic has its roots in
economics and is currently a focus of operations research and management science …

Artificial neural networks (ANN) are widely used to solve series prediction problems such as
prices of financial instruments. Backpropagation is the most common artificial neural training …

A model that seeks to estimate an interest rate curve should have two desirable capabilities
in addition to the usual characteristics required from any function-estimation model: it should …

Accurate forecasting of share prices is needed for fund managers and institutional investors
for hedging decisions. Robust forecasting results will not only increase the effectiveness of …