Statistik mit MATHCAD und MATLAB

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Publisher : Springer-Verlag
ISBN 13 : 364256786X
Total Pages : 521 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Statistik mit MATHCAD und MATLAB by : Hans Benker

Download or read book Statistik mit MATHCAD und MATLAB written by Hans Benker and published by Springer-Verlag. This book was released on 2011-06-28 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das Buch gibt eine Einführung in die Wahrscheinlichkeitsrechnung und mathematische Statistik für Ingenieure und Naturwissenschaftler. Ein zweiter Schwerpunkt liegt in der Anwendung der Programmsysteme MATHCAD und MATLAB, die von Ingenieuren und Naturwissenschaftlern bevorzugt eingesetzt werden. Der Autor zeigt, daß sich MATHCAD und MATLAB auch zur Berechnung von Grundaufgaben aus Wahrscheinlichkeitsrechnung und Statistik eignen. Deshalb braucht sich der Ingenieur bei anfallenden Statistikaufgaben nicht zusätzlich in die Bedienung eines Statistik-Programmsystems einzuarbeiten, sondern er kann im vertrauten Rahmen von MATHCAD oder MATLAB arbeiten. Sämtliche im Buch behandelte Gebiete der Wahrscheinlichkeitsrechnung und Statistik sind durch Beispiele illustriert, die mittels MATHCAD und MATLAB berechnet werden. Das Buch kann auch zur Berechnung von mathematischen Grundaufgaben herangezogen werden.

Wahrscheinlichkeitsrechnung und Statistik mit MATLAB

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Publisher : Springer-Verlag
ISBN 13 : 3540721568
Total Pages : 543 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Wahrscheinlichkeitsrechnung und Statistik mit MATLAB by : Ottmar Beucher

Download or read book Wahrscheinlichkeitsrechnung und Statistik mit MATLAB written by Ottmar Beucher and published by Springer-Verlag. This book was released on 2007-09-08 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieses Buch führt in die grundlegenden Begriffe und Werkzeuge der Wahrscheinlichkeitsrechnung ein. Zentrale Begriffe und Methoden der angewandten mathematischen Statistik werden beschrieben, und weitergehende statistische Verfahren wie die Varianz- und Regressionsanalyse oder nichtparametrische Verfahren werden diskutiert. Moderne Techniken wie die Monte-Carlo-Methode und wichtige Anwendungsgebiete aus dem ingenieurwissenschaftlichen Bereich werden vorgestellt. Alle Themen werden weitestgehend unter Verwendung von MATLAB bearbeitet. Dies erlaubt die Diskussion praxisorientierter Beispiele und die grafische Visualisierung. Die verwendeten MATLAB-Programme werden ausführlich kommentiert und dem Leser als Begleitsoftware auf der Homepage des Autors zur Verfügung gestellt. Das Buch enthält über 100 Übungsaufgaben mit vollständigen Lösungen. Für die zweite Auflage wurden die Darstellung noch übersichtlicher gestaltet und die Übungsaufgaben ergänzt. Das Buch eignet sichfür Studierende aller ingenieurwissenschaftlichen und naturwissenschaftlichen Fachrichtungen an Universitäten und Fachhochschulen.

Applied Statistics Using SPSS, STATISTICA and MATLAB

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Publisher : Springer Science & Business Media
ISBN 13 : 3662058049
Total Pages : 466 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Applied Statistics Using SPSS, STATISTICA and MATLAB by : Joaquim P. Marques de Sá

Download or read book Applied Statistics Using SPSS, STATISTICA and MATLAB written by Joaquim P. Marques de Sá and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.

Ingenieurmathematik kompakt – Problemlösungen mit MATLAB

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Author :
Publisher : Springer-Verlag
ISBN 13 : 3642054536
Total Pages : 274 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Ingenieurmathematik kompakt – Problemlösungen mit MATLAB by : Hans Benker

Download or read book Ingenieurmathematik kompakt – Problemlösungen mit MATLAB written by Hans Benker and published by Springer-Verlag. This book was released on 2010-03-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: In diesem Buch wird durchgehend das Mathematiksystem MATLAB zur Lösung mathematischer Probleme mittels Computer herangezogen. Im ersten Teil werden die Funktionen, Struktur und Arbeitsweise von MATLAB kurz und übersichtlich dargestellt, so dass auch Einsteiger in der Lage sind, MATLAB problemlos einzusetzen. Teil zwei bietet eine kompakte Einführung in Grundgebiete und wichtige Spezialgebiete der Ingenieurmathematik, wie z.B. Differentialgleichungen, Optimierung, Transformationen, Wahrscheinlichkeitsrechnung und Statistik. Hier steht die Anwendbarkeit von MATLAB im Vordergrund. Aufgrund seiner ausführlichen Beispielrechnungen mit MATLAB eignet sich das Buch hervorragend als Nachschlagewerk zur Lösung konkreter Probleme der Ingenieurmathematik.

Intuitive Probability and Random Processes using MATLAB®

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Publisher : Springer Science & Business Media
ISBN 13 : 0387241582
Total Pages : 838 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Intuitive Probability and Random Processes using MATLAB® by : Steven Kay

Download or read book Intuitive Probability and Random Processes using MATLAB® written by Steven Kay and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.

Linear Time Series with MATLAB and OCTAVE

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Publisher : Springer Nature
ISBN 13 : 3030207900
Total Pages : 355 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Linear Time Series with MATLAB and OCTAVE by : Víctor Gómez

Download or read book Linear Time Series with MATLAB and OCTAVE written by Víctor Gómez and published by Springer Nature. This book was released on 2019-10-04 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities of each subject from both theoretical and the practical points of view. It also includes numerous examples and real-world applications that demonstrate how to handle different types of time series data. The associated software package, SSMMATLAB, is written in MATLAB and also runs on the free OCTAVE platform. The book focuses on linear time series models using a state space approach, with the Kalman filter and smoother as the main tools for model estimation, prediction and signal extraction. A chapter on state space models describes these tools and provides examples of their use with general state space models. Other topics discussed in the book include ARIMA; and transfer function and structural models; as well as signal extraction using the canonical decomposition in the univariate case, and VAR, VARMA, cointegrated VARMA, VARX, VARMAX, and multivariate structural models in the multivariate case. It also addresses spectral analysis, the use of fixed filters in a model-based approach, and automatic model identification procedures for ARIMA and transfer function models in the presence of outliers, interventions, complex seasonal patterns and other effects like Easter, trading day, etc. This book is intended for both students and researchers in various fields dealing with time series. The software provides numerous automatic procedures to handle common practical situations, but at the same time, readers with programming skills can write their own programs to deal with specific problems. Although the theoretical introduction to each topic is kept to a minimum, readers can consult the companion book ‘Multivariate Time Series With Linear State Space Structure’, by the same author, if they require more details.

Matlab für Dummies

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Publisher : John Wiley & Sons
ISBN 13 : 3527845283
Total Pages : 529 pages
Book Rating : 4.5/5 (278 download)

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Book Synopsis Matlab für Dummies by : Jim Sizemore

Download or read book Matlab für Dummies written by Jim Sizemore and published by John Wiley & Sons. This book was released on 2024-04-03 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB® So lernen Sie MATLAB ideal zu nutzen Ob Naturwissenschaftler, Mathematiker, Ingenieur oder Datenwissenschaftler - mit MATLAB haben Sie ein mächtiges Tool in der Hand, das Ihnen die Arbeit mit Ihren Daten erleichtert. Aber wie das mit manch mächtigen Dingen so ist - es ist auch ganz schön kompliziert. Aber keine Sorge! Die Autoren führen Sie in diesem Buch Schritt für Schritt an das Programm heran - von der Installation und den ersten Skripten bis hin zu aufwändigen Berechnungen, der Erstellung von Grafiken und effizienter Fehlerbehebung. Sie werden begeistert sein, was Sie mit MATLAB alles anstellen können. Sie erfahren Was es mit dem MATLAB-Dateisystem auf sich hat Wie Sie mathematische Operationen mit Vektoren und Matrizen durchführen Wie Sie Funktionen und Skripte erstellen Wie Sie importieren, exportieren und publizieren.

Statistical Modeling and Computation

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Publisher : Springer Science & Business Media
ISBN 13 : 1461487757
Total Pages : 412 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Statistical Modeling and Computation by : Dirk P. Kroese

Download or read book Statistical Modeling and Computation written by Dirk P. Kroese and published by Springer Science & Business Media. This book was released on 2013-11-18 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.​

MATLAB for Dummies

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Publisher :
ISBN 13 :
Total Pages : 499 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis MATLAB for Dummies by : Jim Sizemore

Download or read book MATLAB for Dummies written by Jim Sizemore and published by . This book was released on 2021 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Functional Data Analysis with R and MATLAB

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Publisher : Springer Science & Business Media
ISBN 13 : 0387981853
Total Pages : 213 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Functional Data Analysis with R and MATLAB by : James Ramsay

Download or read book Functional Data Analysis with R and MATLAB written by James Ramsay and published by Springer Science & Business Media. This book was released on 2009-06-29 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems

Ingenieurmathematik kompakt – Problemlösungen mit MATLAB

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Author :
Publisher : Springer
ISBN 13 : 9783642054525
Total Pages : 273 pages
Book Rating : 4.0/5 (545 download)

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Book Synopsis Ingenieurmathematik kompakt – Problemlösungen mit MATLAB by : Hans Benker

Download or read book Ingenieurmathematik kompakt – Problemlösungen mit MATLAB written by Hans Benker and published by Springer. This book was released on 2010-03-23 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Der Band behandelt im ersten Teil Funktionen, Struktur und Arbeitsweise von MATLAB kurz und übersichtlich, so dass auch Einsteiger MATLAB problemlos einsetzen können. Teil 2 bietet eine kompakte Einführung in Grundgebiete und wichtige Spezialgebiete der Ingenieurmathematik wie z. B. Differentialgleichungen, Optimierung, Transformationen, Wahrscheinlichkeitsrechnung und Statistik. Aufgrund ausführlicher Beispielrechnungen mit MATLAB eignet sich das Buch hervorragend als Nachschlagewerk zur Lösung konkreter Probleme der Ingenieurmathematik.

Applied Statistics

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Publisher :
ISBN 13 : 9783540011569
Total Pages : 0 pages
Book Rating : 4.0/5 (115 download)

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Book Synopsis Applied Statistics by : Sá

Download or read book Applied Statistics written by Sá and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Engineering Biostatistics

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Publisher : John Wiley & Sons
ISBN 13 : 1119168988
Total Pages : 1049 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Engineering Biostatistics by : Brani Vidakovic

Download or read book Engineering Biostatistics written by Brani Vidakovic and published by John Wiley & Sons. This book was released on 2017-12-07 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, and many examples in this book are solved using both methods. The results are then compared and commented upon. Readers have the choice of MATLAB® for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references. Engineering Biostatistics: An Introduction using MATLAB® and WinBUGS also includes: parallel coverage of classical and Bayesian approaches, where appropriate substantial coverage of Bayesian approaches to statistical inference material that has been classroom-tested in an introductory statistics course in bioengineering over several years exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples Engineering Biostatistics: An Introduction using MATLAB® and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.

Financial Derivative and Energy Market Valuation

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Publisher : John Wiley & Sons
ISBN 13 : 1118501810
Total Pages : 534 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Financial Derivative and Energy Market Valuation by : Michael Mastro, PhD

Download or read book Financial Derivative and Energy Market Valuation written by Michael Mastro, PhD and published by John Wiley & Sons. This book was released on 2013-02-19 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab®. Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also: • Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic • Extends seminal works developed over the last four decades to derive and utilize present-day financial models • Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing • Includes all Matlab code for readers wishing to replicate the figures found throughout the book Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

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Author :
Publisher : Springer
ISBN 13 : 9783540837435
Total Pages : 505 pages
Book Rating : 4.8/5 (374 download)

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Book Synopsis Applied Statistics Using SPSS, STATISTICA, MATLAB and R by : Joaquim P. Marques de Sá

Download or read book Applied Statistics Using SPSS, STATISTICA, MATLAB and R written by Joaquim P. Marques de Sá and published by Springer. This book was released on 2009-09-02 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.

Mathematik mit MATLAB

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Publisher : Springer
ISBN 13 : 9783540673729
Total Pages : 578 pages
Book Rating : 4.6/5 (737 download)

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Book Synopsis Mathematik mit MATLAB by : Hans Benker

Download or read book Mathematik mit MATLAB written by Hans Benker and published by Springer. This book was released on 2000-08-28 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB löst die Mathematikaufgaben der Technik und Naturwissenschaften. Dieses Buch eignet sich als Einführung für Einsteiger, begleitendes Übungsbuch für Hörer von Mathematikvorlesungen und Nachschlagewerk für Dozenten und Praktiker. Es enthält zu allen behandelten mathematischen Problemen typische mit MATLAB gelöste Beispiele. Der Leser erlernt so die Anwendung von MATLAB und die Interpretation der Ergebnisse. Die Beispiele beziehen sich auf Release 5.3.

Statistics for Bioengineering Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 1461403944
Total Pages : 761 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Statistics for Bioengineering Sciences by : Brani Vidakovic

Download or read book Statistics for Bioengineering Sciences written by Brani Vidakovic and published by Springer Science & Business Media. This book was released on 2011-08-04 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with. The author integrates introductory statistics for engineers and introductory biostatistics as a single textbook heavily oriented to computation and hands on approaches. For example, topics ranging from the aspects of disease and device testing, Sensitivity, Specificity and ROC curves, Epidemiological Risk Theory, Survival Analysis, or Logistic and Poisson Regressions are covered. In addition to the synergy of engineering and biostatistical approaches, the novelty of this book is in the substantial coverage of Bayesian approaches to statistical inference. Many examples in this text are solved using both the traditional and Bayesian methods, and the results are compared and commented.