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Trends in Mathematical, Information and Data Sciences
This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pardo that can be summarized as Information Theory with Applications to Statistical Inference. This book is a tribute to Professor Leandro Pardo, who has chaired the Department of Statistics and OR of the Complutense University in Madrid, and he has been also President of the Spanish Society of Statistics and Operations Research. In this way, the contributions have been structured into three parts, which often overlap to a greater or lesser extent, namely Trends in Mathematical Sciences (Part I) Trends in Information Sciences (Part II) ...
Innovations in Multivariate Statistical Modeling
Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics. It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that...
Applied and Computational Matrix Analysis
This volume presents recent advances in the field of matrix analysis based on contributions at the MAT-TRIAD 2015 conference. Topics covered include interval linear algebra and computational complexity, Birkhoff polynomial basis, tensors, graphs, linear pencils, K-theory and statistic inference, showing the ubiquity of matrices in different mathematical areas. With a particular focus on matrix and operator theory, statistical models and computation, the International Conference on Matrix Analysis and its Applications 2015, held in Coimbra, Portugal, was the sixth in a series of conferences. Applied and Computational Matrix Analysis will appeal to graduate students and researchers in theoretical and applied mathematics, physics and engineering who are seeking an overview of recent problems and methods in matrix analysis.
Applied Linear Algebra, Probability and Statistics
This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to inspire us all and Prof. Arbind K. Lal who has sadly departed us too early, it has contributions from collaborators, students, colleagues and admirers of Professors Rao and Lal. With many chapters on generalized inverses, matrix analysis, matrices and graphs, applied probability and statistics, and the history of ancient mathematics, this book offers a diverse array of mathematical results, techniques and applications. The book promises to be especially rewarding for readers with an interest in the focus areas of applied linear algebra, probability and statistics.
Contributions to linear discriminant analysis with applications to growth curves
This thesis concerns contributions to linear discriminant analysis with applications to growth curves. Firstly, we present the linear discriminant function coefficients in a stochastic representation using random variables from the standard univariate distributions. We apply the characterized distribution in the classification function to approximate the classification error rate. The results are then extended to large dimension asymptotics under assumption that the dimension p of the parameter space increases together with the sample size n to infinity such that the ratio converges to a positive constant c (0, 1). Secondly, the thesis treats repeated measures data which correspond to multip...
Bilinear and Trilinear Regression Models with Structured Covariance Matrices
This thesis focuses on the problem of estimating parameters in bilinear and trilinear regression models in which random errors are normally distributed. In these models the covariance matrix has a Kronecker product structure and some factor matrices may be linearly structured. The interest of considering various structures for the covariance matrices in different statistical models is partly driven by the idea that altering the covariance structure of a parametric model alters the variances of the model’s estimated mean parameters. Firstly, the extended growth curve model with a linearly structured covariance matrix is considered. The main theme is to find explicit estimators for the mean ...
Bilinear Regression Analysis
This book expands on the classical statistical multivariate analysis theory by focusing on bilinear regression models, a class of models comprising the classical growth curve model and its extensions. In order to analyze the bilinear regression models in an interpretable way, concepts from linear models are extended and applied to tensor spaces. Further, the book considers decompositions of tensor products into natural subspaces, and addresses maximum likelihood estimation, residual analysis, influential observation analysis and testing hypotheses, where properties of estimators such as moments, asymptotic distributions or approximations of distributions are also studied. Throughout the text, examples and several analyzed data sets illustrate the different approaches, and fresh insights into classical multivariate analysis are provided. This monograph is of interest to researchers and Ph.D. students in mathematical statistics, signal processing and other fields where statistical multivariate analysis is utilized. It can also be used as a text for second graduate-level courses on multivariate analysis.
Handbook of Research on Supply Chain Resiliency, Efficiency, and Visibility in the Post-Pandemic Era
The COVID-19 pandemic has adversely affected the supply chains of all sectors of business worldwide. The pandemic has made it evident that by managing supply chains in a traditional manner organizations will no longer be able to achieve profits and improve customer satisfaction. This calls for immediate structural changes in organizations, flexible organizational culture, and a sense of urgency to redefine strategies related to supply chains. The Handbook of Research on Supply Chain Resiliency, Efficiency, and Visibility in the Post-Pandemic Era explores diverse strategies for achieving capabilities related to supply chain resilience and seeks to expand the existing body of knowledge in this area. It develops models, frameworks, and theoretical concepts related to supply chain resilience to enhance efficiency and improve visibility of supply chains. Covering topics such as change management, production relocation, and supply chain risk, this book is an essential reference for business leaders, corporate executives, industry practitioners, researchers, academicians, educators, and students.
Accidental Billionaire's Bride:His sinful Obsession
Celine's soul is splintered instantly as she caught her fiance and auntie, who was a mother figure to her, making love on her wedding day, betrayed and heartbroken, she was told that her Aunt would be the bride-to-be if she didn't want to be. She watched as her six-year relationship went down the drain. In a drunken haze, she escapes to a bar, to drown her sorrow, where she meets a mesmerizing Stranger. They were both drunk as he compassionately listens to her account of her ill-fated wedding day. He promised to marry her, and they drunkenly got married at a chapel. When she sobered up, she realized what happened and fled to Las Vegas, but their paths crossed again. Turns out the stranger was Ermanno Vitale, Las Vegas' famous billionaire businessman. Erammno Vitale, the king of the Business world, a man to be feared. He was unwilling to let her go, after all, she was his wife. But, just as quickly as it began, His presence shatters Celine's gentle heart, stealing the sense of peace she once knew. "She was the forbidden fruit that he craved, a sinful obsession of Lust." - Ermanno Vitale
The Sinful
Life is cheap in Murder City… A young woman is dead, and another is missing. Two cases worlds apart. When an old friend throws Cutter a case involving the disappearance of a young woman from Detroit’s most prominent family, he sees an opportunity to make some quick cash to keep the bookies off his back. But he soon realizes his client’s problems are a lot more sinister than he thought and finds himself in too deep. This neo-noir thriller will get the blood pumping and deliver a shocking ending that will leave readers breathless as they discover The Sinful. The Sinful is an attractive read for fans of James Patterson, Walter Mosley, and Lawrence Block.
