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The Concise Encyclopedia of Statistics
Presents the essential information about statistical tests, concepts, and analytical methods in language that is accessible to practitioners and students of the vast community using statistics in medicine, engineering, physical science, life science, social science, and business/economics. The reference is alphabetically arranged to provide quick access to the fundamental tools of statistical methodology and biographies of famous statisticians. The more than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the key citations. The back matter includes a timeline of statistical inventions. This reference will be an enduring resource for locating convenient overviews about this essential field of study.
Statistique : Dictionnaire encyclopédique = Statistics : Encyclopedic dictionary
The aim of this volume is to fill a gap in the statistical science literature, namely to produce a French statistical science dictionary. … The dictionary will be of prime interest to those who are involved in the economic and social sciences, human sciences, life sciences and earth sciences.
Premiers pas en statistique = First steps in statistics
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. It is intended for students of economics and social sciences whose study program includes a broad knowledge of statistical methods. It is also aimed at researchers in various fields of applied sciences as well as students who plan to pursue a more in-depth study of statistical theory and its applications at a later stage. The work has three parts: descriptive statistics, probabilities and inferential statistics.
Premiers pas en simulation = First steps in simulation
Why simulation techniques? Simulation methods, designed for use in statistics and operations research, have experienced and continue to develop rapidly due to the extraordinary evolution of computers. Applications are found in industry and in economics, or even social sciences, in particle physics, in astronomy and in many other fields. In many situations, whether in everyday life or in scientific research, the researcher is faced with problems which he seeks solutions on the basis of certain initial assumptions and constraints. To solve this type of problem, there exist analytical methods applicable to situations where the model makes it possible to treat the di? Erent variables by mathematically manageable equations, and numerical methods where the complexity of the model imposes a fragmentation of the problem, in particular by the identification of the various variables which come into play and the study of their interactions. This last approach is often accompanied by a large mass of calculations. Simulation techniques are numerical techniques: to simulate a phenomenon essentially means to carefully reconstruct its evolution.
Optimisation appliquée = Optimization applied
Presents the fundamental concepts of classical optimization and linear programming. In addition to a prologue and epilogue, the book includes a section on mathematical theory, covering matrix calculus and systems of linear equations and inequalities. It then deals with classical optimization, both constrained and unconstrained, linear programming, the simplex method, and the revised simplex method. The final chapters are devoted to duality, post-optimization and sensitivity analysis, as well as transportation problems. Emphasis is placed on explaining the methods presented and their applications. Numerous numerical examples drawn from various economic and social situations are provided.
Mathématiques de base pour économistes = Basic Mathematics for Economists
This book contains fundamental elements of mathematics and includes the following elements: notion of logic, propositions, theorems, sets, relations and functions; graphical representations of functions, economic applications of lines and functions, sequences, limits and first derivative, differential economic applications of derivatives; integrals: undefined and defined with economic applications; mathematical series; functions of several variables, partial derivatives, Lagrange multiplier with economic applications; linear algebra: matrix calculus, system of linear equations, vectors, differential calculus in matrix form.
