Results 141 to 150 of about 1,362,662 (220)
An EM‐based likelihood inference for degradation data analysis using gamma process
Applied Stochastic Models in Business and Industry, EarlyView.Abstract The gamma process is widely used for the lifetime estimation of highly reliable products that degrade over time. Typically, incomplete likelihood is used to estimate the model parameters and the reliability estimates for the first passage time distribution of the gamma process; however, it (i.e., pseudo method) does not consider interval ...
Lochana Palayangoda, N. Balakrishnan
wiley +1 more source
Forecasting in marketing [PDF]
With the advent of advanced data collection techniques, there is an increased interest in using econometric models to support decisions in marketing. Due to the sometimes specific nature of variables in marketing, the discipline uses econometric models ...
Franses, Ph.H.B.F.
core +1 more source
A Methodological Approach to Prioritize Digital Twin Development in Manufacturing
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT The digital age has brought about a need for organizations to utilize Digital Twins to improve operational efficiency and decision‐making. However, it is difficult for companies to identify and prioritize Digital Twin initiatives that meet the needs of their stakeholders and align with the capabilities of the company and its strategic plans ...
Sara Blasco Román, Till Böttjer
wiley +1 more source
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Reformulating empirical macro-econometric modelling [PDF]
The policy implications of estimated macro-econometric systems depend on the formulations of their equations, the methodology of empirical model selection and evaluation, the techniques of policy analysis, and their forecast performance.
Hendry, David F., Mizon, Grayham E.
core
Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Simulation‐based digital twins must provide accurate, robust, and reliable digital representations of their physical counterparts. Therefore, quantifying the uncertainty in their predictions plays a key role in making better‐informed decisions that impact the actual system.
Daniel Andrés Arcones +3 more
wiley +1 more source
Patterns of Foreign Direct Investment in the New EU Countries [PDF]
The aim of the paper is to assess the determinants of foreign direct investment (FDI) inflow for the recent members of the EU (CEEC-41) using panel data methods.
Albu, Lucian Liviu +3 more
core
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Numerical models are essential for comprehending intricate physical phenomena in different domains. To handle their complexity, sensitivity analysis, particularly screening is crucial for identifying influential input parameters. Kernel‐based methods, such as the Hilbert‐Schmidt Independence Criterion (HSIC), are valuable for analyzing ...
Guerlain Lambert +2 more
wiley +1 more source
Expert opinion versus expertise in forecasting [PDF]
Expert opinion is an opinion given by an expert, and it can have significant value in forecasting key policy variables in economics and finance. Expert forecasts can either be expert opinions, or forecasts based on an econometric model.
Franses, Ph.H.B.F. +2 more
core +1 more source
Simulated Exact Confidence Intervals: With Applications to Censored Exponential Reliability Data
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT A method for constructing exact simulated confidence intervals is presented, valid for situations with both discrete and continuous observations. The idea of the method is to invert a data generating function, which needs not be monotone, and where special attention is taken when the data generating function contains jumps.
Bo Henry Lindqvist, Gunnar Taraldsen
wiley +1 more source