Predicting future cryptocurrency investment trends by conjoint analysis

Reservation Price Estimation by Adaptive Conjoint Analysis

Though reservation prices are needed for many business decision processes, e.g., pricing new products, it often turns out to be difficult to measure them. Many researchers reuse conjoint analysis data with price as an attribute for this task (e.g., Kohli and Mahajan (1991)). In this setting the information if a consumer buys a product at all is not elicited which makes reservation price estimat...

Predicting future trends in stock market by decision tree rough-set based hybrid system with HHMM

Around the world, trading in the stock market has gained huge attractiveness as a means through which, one can obtain vast profits. Attempting to profitably and precisely predict the financial market has long engrossed the interests and attention of bankers, economists and scientists alike. Stock market prediction is the act of trying, to determine the future value of a company’s stock or other...

Future Trends in Rotating Equipment Analysis

Great strides have been made in monitoring vibration and combustion performance of gas turbine engines. Challenges still remain in the areas of engine overhaul and design/manufacturing of new turbine/generator systems. This paper discusses some elements of current and future efforts to understand what is happening in Real-Time as new engines are run up for the first time after assembly, overhau...

Conjoint Analysis: a Tool for Preference Analysis Submitted by Acknowledgments

Conjoint analysis is a family of techniques that originated in psychology and later become popular in market research. The main objective in conjoint analysis is to measure individual’s or population’s preferences on a set of options that can be described by parameters and their levels. Here we consider choice based conjoint analysis, where the preferences of the people are obtained from choice...

Developments in Conjoint Analysis