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In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.

Humanities --- Social interaction --- positive and negative skewness --- ordering --- fitting distributions --- Epsilon-skew-Normal --- Epsilon-skew-Cauchy --- bivariate densities --- generalized Cauchy distributions --- asymmetric bimodal distribution --- bimodal --- maximum likelihood --- slashed half-normal distribution --- kurtosis --- likelihood --- EM algorithm --- flexible skew-normal distribution --- skew Birnbaum–Saunders distribution --- bimodality --- maximum likelihood estimation --- Fisher information matrix --- maximum likelihood estimates --- type I and II censoring --- skewness coefficient --- Weibull censored data --- truncation --- half-normal distribution --- probabilistic distribution class --- normal distribution --- identifiability --- moments --- power-normal distribution

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In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.

Humanities --- Social interaction --- positive and negative skewness --- ordering --- fitting distributions --- Epsilon-skew-Normal --- Epsilon-skew-Cauchy --- bivariate densities --- generalized Cauchy distributions --- asymmetric bimodal distribution --- bimodal --- maximum likelihood --- slashed half-normal distribution --- kurtosis --- likelihood --- EM algorithm --- flexible skew-normal distribution --- skew Birnbaum–Saunders distribution --- bimodality --- maximum likelihood estimation --- Fisher information matrix --- maximum likelihood estimates --- type I and II censoring --- skewness coefficient --- Weibull censored data --- truncation --- half-normal distribution --- probabilistic distribution class --- normal distribution --- identifiability --- moments --- power-normal distribution

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This book results from a Special Issue related to the latest progress in the thermodynamics of machines systems and processes since the premonitory work of Carnot. Carnot invented his famous cycle and generalized the efficiency concept for thermo-mechanical engines. Since that time, research progressed from the equilibrium approach to the irreversible situation that represents the general case. This book illustrates the present state-of-the-art advances after one or two centuries of consideration regarding applications and fundamental aspects. The research is moving fast in the direction of economic and environmental aspects. This will probably continue during the coming years. This book mainly highlights the recent focus on the maximum power of engines, as well as the corresponding first law efficiency upper bounds.

thermodynamics --- optimization --- entropy analysis --- Carnot engine --- modelling with time durations --- steady-state modelling --- transient conditions --- converter irreversibility --- sequential optimization --- Finite physical Dimensions Optimal Thermodynamics --- global efficiency --- energy efficiency --- heat engine --- heat pump --- utilization --- Carnot efficiency --- comparison --- thermal system --- cycle analysis --- second law of thermodynamics --- Clausius Statement --- theorem of the equivalence of transformations --- linear irreversible thermodynamics --- maximum power output --- maximum ecological Function --- maximum efficient power function --- enzymatic reaction model --- ocean thermal energy conversion (OTEC) --- plate heat exchanger --- finite-time thermodynamics --- heat transfer entropy --- entropy production --- new efficiency limits --- two-stage LNG compressor --- energy losses --- exergy destruction --- exergy efficiency --- Stirling cycle --- refrigerator --- heat exchanger --- second law --- n/a

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Research without statistics is like water in the sand; the latter is necessary to reap the benefits of the former. This collection of articles is designed to bring together different approaches to applied statistics. The studies presented in this book are a tiny piece of what applied statistics means and how statistical methods find their usefulness in different fields of research from theoretical frames to practical applications such as genetics, computational chemistry, and experimental design. This book presents several applications of the statistics: A new continuous distribution with five parameters—the modified beta Gompertz distribution; A method to calculate the p-value associated with the Anderson–Darling statistic; An approach of repeated measurement designs; A validated model to predict statement mutations score; A new family of structural descriptors, called the extending characteristic polynomial (EChP) family, used to express the link between the structure of a compound and its properties. This collection brings together authors from Europe and Asia with a specific contribution to the knowledge in regards to theoretical and applied statistics.

molecular descriptors --- compound symmetry --- Anderson–Darling test (AD) --- software testing --- probability --- characteristic polynomial (ChP) --- mutation testing --- C20 fullerene --- fullerene congeners --- machine learning --- maximum likelihood estimation --- gompertz distribution --- modified beta generator --- structure–property relationships --- repeated measurement designs --- Monte Carlo simulation

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The company Dilibel, a subsidiary of Hachette-Livre group, is specialized in the sales and
distribution of books in Belgium and the Grand Duchy of Luxembourg. The subject of this
thesis is procurement management, with the goal of bringing a solution to the major problems
faced by Dilibel so as to optimize the current system.
The orders are generated by their computer system. They are, for a vast majority of articles,
adapted to their management style. For two article categories, namely feature articles (articles
with continuous high sales) and seasonal articles, the order frequency, as well as the order
quantity are not appropriate.
For feature articles, the order frequency is too high, leading to monitoring and maintenance
costs. These articles are placed and handled in the warehouse like other articles, which in turn
generates numerous and frequent displacements during picking.
Regarding seasonal articles, the ordering system is in reactive mode to the evolution of sales.
There is a discrepancy between the clients’ needs and the supplier orders. This creates stock
shortages at the beginning of the season, as well as overstock at the end of the season.
Based on the work carried out during the internship (notably support of operational activities),
on documentary research, and on visits to Dilibel’s main supplier and a client, this thesis aims
at proposing a solution to the problems encountered.
For feature articles, additionally to their definition and their unequivocal identification, the
suggested solution is to group the articles in the warehouse and to review the order quantities
by reconciling the order frequency with the available space in stock. The choice of location will
also be essential to optimize the movements of warehousemen.
Concerning seasonal articles, additionally to their definition and their unequivocal
identification, the proposed solution is to switch from a reactive to a proactive mode by
anticipating the start of the season with a supplementary order, and the end of the season with
an earlier shutdown of orders.

Gestion des stocks --- Approvisionnement --- Commande --- Article de fond --- Espace de stockage --- Article saisonnier --- Stock minimum & maximum --- Rupture de stock --- Surstock --- Système de commandes --- Optimisation --- Picking --- Référencement --- Nomenclature --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique