Angebote zu "Matrix" (9 Treffer)

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Development of a Web-based QFD system
49,00 € *
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Quality Function Deployment (QFD) is an important tool in product planning and development that is capable of improving customer satisfaction and shortening product development lifecycle. Due to that QFD is a team tool and group process, geographically distributed team members are likely to pose a challenging issue on the common practice and usage of it. In this research, a prototype Web-based QFD system has been proposed and implemented in order to mitigate the aforementioned concern. Based on the potential deficiency in technical correlation matrix, the proposed application adopts a new approach in managing the engineering correlations. Besides, user experience is expected to be improved by including various enhancements, such as visual illustration of results. An example of a software module design has been used to demonstrate and examine the proposed system in a multi-national business software company. Positive results, including improved communication and collaboration among team members and shortened and smoothed product development lifecycle, have been observed during the case study.

Anbieter: Dodax
Stand: 23.01.2021
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Symmetric Galerkin Boundary Element Method
149,79 € *
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Symmetric Galerkin Boundary Element Method presents an introduction as well as recent developments of this accurate, powerful, and versatile method. The formulation possesses the attractive feature of producing a symmetric coefficient matrix. In addition, the Galerkin approximation allows standard continuous elements to be used for evaluation of hypersingular integrals.FEATURES- Written in a form suitable for a graduate level textbook as well as a self-learning tutorial in the field.- Covers applications in two-dimensional and three-dimensional problems of potential theory and elasticity. Additional basic topics involve axisymmetry, multi-zone and interface formulations. More advanced topics include fluid flow (wave breaking over a sloping beach), non-homogeneous media, functionally graded materials (FGMs), anisotropic elasticity, error estimation, adaptivity, and fracture mechanics.- Presents integral equations as a basis for the formulation of general symmetric Galerkin boundary element methods and their corresponding numerical implementation. - Designed to convey effective unified procedures for the treatment of singular and hypersingular integrals that naturally arise in the method. Symbolic codes using Maple® for singular-type integrations are provided and discussed in detail.- The user-friendly adaptive computer code BEAN (Boundary Element ANalysis), fully written in Matlab®, is available as a companion to the text. The complete source code, including the graphical user-interface (GUI), can be downloaded from the web site The source code can be used as the basis for building new applications, and should also function as an effective teaching tool. To facilitate the use of BEAN, a video tutorial and a library of practical examples are provided.

Anbieter: Dodax
Stand: 23.01.2021
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Linear Models 2E
350,00 CHF *
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The essential introduction to the theory and application of linear models-now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: * New chapters on Bayesian linear models as well as random and mixed linear models * Expanded discussion of two-way models with empty cells * Additional sections on the geometry of least squares * Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS(r) code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Anbieter: Orell Fuessli CH
Stand: 23.01.2021
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Beginning ASP.NET 1.1 with Visual C# .NET 2003
40,00 CHF *
ggf. zzgl. Versand

What is this book about?This hands-on guide teaches you how to build custom ASP.NET Websites from the ground up. An expert team of authors uses theirextensive ASP.NET programming experience to give you hands-oninstruction in the best way to create Web sites with ASP.NET andC#. This completely updated edition features new examples, and allcode is written and tested for ASP.NET version 1.1.What does this book cover?Here are some details on what you'll discover in this book:* Fast ASP.NET site construction using Microsoft's new,free Web Matrix tool* How to install and configure ASP.NET* Basic programming principles for C#, such as variables, controlstructures, and procedural programming* Techniques for applying these principles as you develop ASP.NETpages* The minimum amount of object-oriented programming necessary towork successfully and efficiently with ASP.NET* Key differences between ASP.NET 1.0 and 1.1, how to use theexamples in this book with either version, and how to move from 1.0to 1.1* Techniques for extending your ASP.NET sites to incorporaterelated tools and technologies, such as using ADO.NET for datasource access, Web Services for inter-site communication, andServer Controls to facilitate code maintenance and reuse* How you can make your ASP.NET site production-ready throughproper debugging, optimization, and securityWho is this book for?This book is for beginners who have no previous experience withASP, C#, XML, object-oriented programming, or the .NET framework. Alittle knowledge of HTML is useful, but not essential. All theconcepts you need to create dynamic ASP.NET Web sites are presentedand explained in full.

Anbieter: Orell Fuessli CH
Stand: 23.01.2021
Zum Angebot
Linear Models in Statistics
155,00 CHF *
ggf. zzgl. Versand

The essential introduction to the theory and application of linearmodels--now in a valuable new edition Since most advanced statistical tools are generalizations of thelinear model, it is neces-sary to first master the linear model inorder to move forward to more advanced concepts. The linear modelremains the main tool of the applied statistician and is central tothe training of any statistician regardless of whether the focus isapplied or theoretical. This completely revised and updated newedition successfully develops the basic theory of linear models forregression, analysis of variance, analysis of covariance, andlinear mixed models. Recent advances in the methodology related tolinear mixed models, generalized linear models, and the Bayesianlinear model are also addressed. Linear Models in Statistics, Second Edition includes fullcoverage of advanced topics, such as mixed and generalized linearmodels, Bayesian linear models, two-way models with empty cells,geometry of least squares, vector-matrix calculus, simultaneousinference, and logistic and nonlinear regression. Algebraic,geometrical, frequentist, and Bayesian approaches to both theinference of linear models and the analysis of variance are alsoillustrated. Through the expansion of relevant material and theinclusion of the latest technological developments in the field,this book provides readers with the theoretical foundation tocorrectly interpret computer software output as well as effectivelyuse, customize, and understand linear models. This modern Second Edition features: * New chapters on Bayesian linear models as well as random andmixed linear models * Expanded discussion of two-way models with empty cells * Additional sections on the geometry of least squares * Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real datasets, and an extensive bibliography. A thorough review of therequisite matrix algebra has been addedfor transitional purposes,and numerous theoretical and applied problems have beenincorporated with selected answers provided at the end of the book.A related Web site includes additional data sets and SAS® codefor all numerical examples. Linear Model in Statistics, Second Edition is a must-have bookfor courses in statistics, biostatistics, and mathematics at theupper-undergraduate and graduate levels. It is also an invaluablereference for researchers who need to gain a better understandingof regression and analysis of variance.

Anbieter: Orell Fuessli CH
Stand: 23.01.2021
Zum Angebot
Linear Models 2E
213,99 € *
ggf. zzgl. Versand

The essential introduction to the theory and application of linear models-now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: * New chapters on Bayesian linear models as well as random and mixed linear models * Expanded discussion of two-way models with empty cells * Additional sections on the geometry of least squares * Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS(r) code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Anbieter: Thalia AT
Stand: 23.01.2021
Zum Angebot
Linear Models in Statistics
139,99 € *
ggf. zzgl. Versand

The essential introduction to the theory and application of linearmodels--now in a valuable new edition Since most advanced statistical tools are generalizations of thelinear model, it is neces-sary to first master the linear model inorder to move forward to more advanced concepts. The linear modelremains the main tool of the applied statistician and is central tothe training of any statistician regardless of whether the focus isapplied or theoretical. This completely revised and updated newedition successfully develops the basic theory of linear models forregression, analysis of variance, analysis of covariance, andlinear mixed models. Recent advances in the methodology related tolinear mixed models, generalized linear models, and the Bayesianlinear model are also addressed. Linear Models in Statistics, Second Edition includes fullcoverage of advanced topics, such as mixed and generalized linearmodels, Bayesian linear models, two-way models with empty cells,geometry of least squares, vector-matrix calculus, simultaneousinference, and logistic and nonlinear regression. Algebraic,geometrical, frequentist, and Bayesian approaches to both theinference of linear models and the analysis of variance are alsoillustrated. Through the expansion of relevant material and theinclusion of the latest technological developments in the field,this book provides readers with the theoretical foundation tocorrectly interpret computer software output as well as effectivelyuse, customize, and understand linear models. This modern Second Edition features: * New chapters on Bayesian linear models as well as random andmixed linear models * Expanded discussion of two-way models with empty cells * Additional sections on the geometry of least squares * Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real datasets, and an extensive bibliography. A thorough review of therequisite matrix algebra has been addedfor transitional purposes,and numerous theoretical and applied problems have beenincorporated with selected answers provided at the end of the book.A related Web site includes additional data sets and SAS® codefor all numerical examples. Linear Model in Statistics, Second Edition is a must-have bookfor courses in statistics, biostatistics, and mathematics at theupper-undergraduate and graduate levels. It is also an invaluablereference for researchers who need to gain a better understandingof regression and analysis of variance.

Anbieter: Thalia AT
Stand: 23.01.2021
Zum Angebot
Beginning ASP.NET 1.1 with Visual C# .NET 2003
36,99 € *
ggf. zzgl. Versand

What is this book about?This hands-on guide teaches you how to build custom ASP.NET Websites from the ground up. An expert team of authors uses theirextensive ASP.NET programming experience to give you hands-oninstruction in the best way to create Web sites with ASP.NET andC#. This completely updated edition features new examples, and allcode is written and tested for ASP.NET version 1.1.What does this book cover?Here are some details on what you'll discover in this book:* Fast ASP.NET site construction using Microsoft's new,free Web Matrix tool* How to install and configure ASP.NET* Basic programming principles for C#, such as variables, controlstructures, and procedural programming* Techniques for applying these principles as you develop ASP.NETpages* The minimum amount of object-oriented programming necessary towork successfully and efficiently with ASP.NET* Key differences between ASP.NET 1.0 and 1.1, how to use theexamples in this book with either version, and how to move from 1.0to 1.1* Techniques for extending your ASP.NET sites to incorporaterelated tools and technologies, such as using ADO.NET for datasource access, Web Services for inter-site communication, andServer Controls to facilitate code maintenance and reuse* How you can make your ASP.NET site production-ready throughproper debugging, optimization, and securityWho is this book for?This book is for beginners who have no previous experience withASP, C#, XML, object-oriented programming, or the .NET framework. Alittle knowledge of HTML is useful, but not essential. All theconcepts you need to create dynamic ASP.NET Web sites are presentedand explained in full.

Anbieter: Thalia AT
Stand: 23.01.2021
Zum Angebot