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Il volume contiene in forma compatta il programma svolto negli insegnamenti introduttivi di statistica e tratta alcuni argomenti indispensabili per l'attività di ricerca, come ad esempio i metodi di simulazione Monte Carlo, le procedure di minimizzazione e le tecniche di analisi dei dati di laboratorio. Gli argomenti vengono sviluppati partendo dai fondamenti, evidenziandone gli aspetti applicativi, fino alla descrizione dettagliata di molti casi di particolare rilevanza in ambito scientifico e tecnico. Numerosi esempi ed esercizi risolti valorizzano l'opera ed aiutano il lettore nella comprensione dei punti più difficili ed importanti. Come ulteriore supporto, questa seconda edizione contiene molti programmi applicativi scritti col software libero Scilab, scaricabili dal sito web creato dagli autori. Il testo è rivolto agli studenti universitari dei corsi ad indirizzo scientifico e a tutti quei ricercatori che devono risolvere problemi concreti che coinvolgono aspetti statistici e  di simulazione. Per i programmi in Scilab e per il materiale ausiliario si veda: http://www.mi.imati.cnr.it/~marco/springer/index.html .

Mathematical statistics. --- Scilab. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistics. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics .

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ScicosLab is a free open-source software package for scientific computation. It includes a Scilab interpreter and hundreds of general purpose and specialized functions for numerical computation, organized in libraries called toolboxes, which cover such areas as simulation, optimization, systems and control, and signal processing. One important ScicosLab toolbox is Scicos. Scicos provides a block diagram graphical editor for the construction and simulation of dynamical systems. The objective of this book is to provide a tutorial for the use of Scilab/Scicos with a special emphasis on modeling and simulation tools. The book is based on the new ScicosLab 4.4. While the book will provide useful information to experienced users it is designed to be accessible to beginning users from a variety of disciplines. Students and academic and industrial scientists and engineers should find it useful. The book is divided into two parts. The first part concerns Scilab and includes a tutorial covering the language features, the data structures and specialized functions for doing graphics, importing, exporting data and interfacing external routines. It also covers in detail the numerical solvers for ordinary differential equations and differential-algebraic equations available in ScicosLab. Even though the emphasis is placed on modeling and simulation applications, this part provides a global view of the Scilab language. The second part is dedicated to modeling and simulation of dynamical systems in Scicos. This type of modeling tool is widely used in industry because it provides a means for constructing modular and reusable models. This part contains a detailed description of the editor and its usage, which is illustrated through numerous examples. All codes used in the book are made available to the reader. This book is an updated and expanded version of an earlier edition based on Scilab 3.1. Stephen L. Campbell is a professor of mathematics and director of graduate programs at North Carolina State University, a fellow of the IEEE, and has published extensively on numerical methods and control. Jean-Philippe Chancelier is affiliated with CERMICS Ecole Nationale des Ponts et Chaussees and is one of the original developers of Scilab. Ramine Nikoukhah is a director of research at INRIA (The French National Institute for Research in Computer Science and Control), senior member of IEEE, one of the original developers of Scilab, and is the creator of Scicos. .

Electronic books. -- local. --- Science -- Data processing. --- Scilab (Computer file). --- Science --- Physical Sciences & Mathematics --- Mathematics --- Mathematics - General --- Sciences - General --- Data processing --- Data processing. --- Scilab (Computer file) --- Electronic data processing --- Mathematics. --- Operations research. --- Decision making. --- Computers. --- Mathematical analysis. --- Analysis (Mathematics). --- Dynamics. --- Ergodic theory. --- Computer mathematics. --- Control engineering. --- Robotics. --- Mechatronics. --- Analysis. --- Theory of Computation. --- Computational Mathematics and Numerical Analysis. --- Control, Robotics, Mechatronics. --- Dynamical Systems and Ergodic Theory. --- Operation Research/Decision Theory. --- Global analysis (Mathematics). --- Information theory. --- Computer science --- Differentiable dynamical systems. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Computer mathematics --- Discrete mathematics --- Communication theory --- Communication --- Cybernetics --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- 517.1 Mathematical analysis --- Mathematical analysis --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace --- Decision making --- Computer science. --- Automation. --- Dynamical systems. --- Control, Robotics, Automation. --- Dynamical Systems. --- Operations Research and Decision Theory. --- Informatics --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automatic control.

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Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Scilab. Introduction to Scilab is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. After reading this book, you will come away with sample code that can be re-purposed and applied to your own projects using Scilab. You will: Apply sample code to your engineering or science problems Work with Scilab arrays, functions, and loops Use Scilab’s plotting functions for data visualization Solve numerical computing and computational engineering problems with Scilab.

Computer science. --- Computer programming. --- Programming languages (Electronic computers). --- Mathematical logic. --- Numerical analysis. --- Computer mathematics. --- Computer Science. --- Programming Languages, Compilers, Interpreters. --- Computational Mathematics and Numerical Analysis. --- Mathematical Logic and Formal Languages. --- Numeric Computing. --- Programming Techniques. --- Open Source. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Informatics --- Mathematics --- Programming --- Science --- Data processing. --- Scilab. --- Computer science --- Electronic data processing. --- Open source software. --- Mathematics. --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Office practice --- Coding theory --- Automation --- Mathematical analysis --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Languages, Artificial