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Chapter and Conference Paper
Research on the Optimization Model of Ethanol Coupling to C4 Olefins Based on Regression Analysis
China is mainly prepared with fossil raw materials, C4 olefin, ethanol is a good raw material for the preparation of low-carbon olefins, but due to the preparation of ethanol coupling, the reaction principle o...
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Chapter and Conference Paper
An Indirect Solution to WPLTS Group Decision Making Problem
To study the problem of weighted probabilistic linguistic term set (WPLTS) multi-attribute group decision making. Firstly, WPLTS and WPHFS are defined, and a method to convert WPLTS to WPHFS is given. Secondly...
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Chapter and Conference Paper
Global Optimization for the Concave-Concave Multiplicative Programming with Coefficient
In this paper, we present a global optimization algorithm for globally solving the problem (CMPC) of minimizing a concave-concave multiplicative function with coefficient over a compact convex set. We firstly ...
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Chapter and Conference Paper
Linear Programming Subject to Max-Product Fuzzy Relation Inequalities with Discrete Variables
In this paper, we introduced the linear programming subject to max-product fuzzy relation inequalities with discrete variables to denote the optimization management model of physical distribution. It is shown ...
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Chapter
Analysis and Interpretation of Sedentary Behaviour Data
Never before, perhaps due to widely available wearable devices and the ubiquity of mobile phones, has it been so easy and convenient to collect physical activity and sedentary behaviour data. Yet, the availabl...
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Chapter
Improved Convergence Rates of Normal Extremes
It is well known that the convergence of the normal extremes to the limiting Gumbel distribution is extremely slow, at the rate of ...
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Chapter and Conference Paper
Applications of Multivariate Quasi-Random Sampling with Neural Networks
Generative moment matching networks (GMMNs) are suggested for modeling the cross-sectional dependence between stochastic processes. The stochastic processes considered are geometric Brownian motions and ARMA–G...
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Chapter
Model-Based Inverse Regression and Its Applications
One fundamental concept in regression is dimension reduction, the basic idea being to reduce the dimension of the predictor space without loss of information on the regression. To avoid the curse of dimensiona...
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Chapter
Modeling Species Specific Gene Expression Across Multiple Regions in the Brain
Motivation: The question of what makes the human brain functionally different from that of other closely related primates, such as the chimpanzee, has both philosophical as well as practical implications. One of ...
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Chapter
Cosine Similarity-Based Classifiers for Functional Data
In many situations, functional observations in a class are also similar in shape. A variety of functional dissimilarity measures have been widely used in many pattern recognition applications. However, they do...
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Chapter and Conference Paper
A Simulation Study Comparing SNP Based Prediction Models of Drug Response
Lack of replication on findings and missing heritability are two of the major challenges in Pharmacogenetics (PGx) studies. Recently developed statistical methods for genome-wide association studies offer grea...
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Chapter and Conference Paper
Identifying and Comparing Writing Process Patterns Using Keystroke Logs
There is a growing literature on the use of process data in digitally delivered assessments. In this study, we analyzed students’ essay writing processes using keystroke logs. Using four basic writing performa...
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Chapter and Conference Paper
A Novel Framework for Bayesian Response-Adaptive Randomization
The development of response-adaptive randomization (RAR) has taken many different paths over the past few decades. Some RAR schemes optimize certain criteria, but may be complicated and often rely on asymptoti...
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Chapter and Conference Paper
Enhancing Big Data Exploration with Faceted Browsing
Big data analysis now drives nearly every aspect of modern society, from manufacturing and retail, through mobile and financial services, through the life sciences and physical sciences. The ability to continu...
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Chapter
Analysis and Interpretation of Sedentary Behaviour Data
Never before, perhaps due to widely available wearable devices and the ubiquity of mobile phones, has it been so easy and convenient to collect physical activity and sedentary behaviour data. Yet, the availabl...
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Chapter
On the Landmark Survival Model for Dynamic Prediction of Event Occurrence Using Longitudinal Data
In longitudinal cohort studies, participants are often monitored through periodic clinical visits until the occurrence of a terminal clinical event. A question of interest to both scientific research and clini...
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Chapter and Conference Paper
Exact Likelihood-Based Point and Interval Estimation for Lifetime Characteristics of Laplace Distribution Based on hybrid Type-I and Type-II Censored Data
In this chapter, we first derive explicit expressions for the Maximum likelihood estimators (MLEs) of the parameters of Laplace distribution-based on a hybrid Type-I censored sample (Type-I HCS). We then deriv...
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Chapter
Investigating an Intervention’s Causal Story: Mediation Analysis Using a Factorial Experiment and Multiple Mediators
Behavioral, biobehavioral, and biomedical interventions presume a causal story. This causal story is used to create a conceptual model of why the intervention caused the observed outcome. Methods are needed to in...
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Chapter
Market Based Credit Rating and Its Applications
Credit rating plays a critical role in financial risk management. It is like a name tag of a firm indicating its health condition. Generally, ratings involve a lot of firm-specific information which is hard to...
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Chapter and Conference Paper
Two-sample tests for multivariate functional data
We consider two–sample tests for functional data with observations which may be uni– or multi–dimensional. The new methods are formulated as L2–type criteria based on empirical characteristic functions and are...