100 Problemas Resueltos De Estad Stica Multivariante Implementados En Matlab
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100 Problemas Resueltos De Estad Stica Multivariante Implementados En Matlab
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Author : Aurea Grané Chávez
language : es
Publisher: Delta Publicaciones
Release Date : 2007
100 Problemas Resueltos De Estad Stica Multivariante Implementados En Matlab written by Aurea Grané Chávez and has been published by Delta Publicaciones this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Electronic books categories.
100 Problemas Resueltos De Estad Stica Multivariante
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Author : Amparo Baillo Moreno
language : es
Publisher:
Release Date : 2008
100 Problemas Resueltos De Estad Stica Multivariante written by Amparo Baillo Moreno and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Multivariate analysis categories.
Estadistica Con Matlab Ejercicios Y Problemas Resueltos
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Author : Cesar Perez Lopez
language : es
Publisher: CreateSpace
Release Date : 2013-08-12
Estadistica Con Matlab Ejercicios Y Problemas Resueltos written by Cesar Perez Lopez and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-12 with Mathematics categories.
MATLAB es una plataforma de cálculo científico que permite trabajar en prácticamente todos las áreas de las Ciencias Experimentales y la Ingeniería. Lógicamente, este software permite trabajar en el campo de la Estadística, presentando unas capacidades bastante amplias.El número de comandos que implementa Matlab, relativos al trabajo estadístico, es bastante elevado y muy eficiente. Además de las funciones estadísticas que implementa el módulo básico del programa, Matlab presenta un módulo específico para el trabajo estadístico denominado Statistics Toolbox. Las funciones de este módulo permiten trabajar en materias como la Estadística Descriptiva, modelos probabilísticos, variables aleatorias discretas y continuas, intervalos de confianza y contrastes de hipótesis, modelos de regresión lineal y no lineal, análisis multivariante de datos, control de calidad, diseños de experimetos y otros contenidos de la estadística industrial. Este libro aborda todas estas materias desarrollando los siguientes temas:Estadística descriptivaProbabilidad Variables aleatorias discretas Modelos probabilísticos discretosVariables aleatorias continuasModelos probabilísticos continuos Intervalos de confianzaContrastes de hipótesisRegresión lineal y no linealAnálisis multivariante de datosAnálisis en componentes principales Análisis discriminante Análisis clústerControl de calidadControl de procesosDiseño de experimentos Estadística industrialFunciones estadísticas del módulo básico de MatlabFunciones estadísticas del módulo Statistics ToolBox
Univariate Bivariate And Multivariate Statistics Using R
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Author : Daniel J. Denis
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-14
Univariate Bivariate And Multivariate Statistics Using R written by Daniel J. Denis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-14 with Mathematics categories.
A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author— a noted expert in quantitative teaching —has written a quick go-to reference for performing essential statistical analyses and data management tasks in R. Requiring only minimal prior knowledge, the book introduces concepts needed for an immediate yet clear understanding of statistical concepts essential to interpreting software output. The author explores univariate, bivariate, and multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R computing capabilities needed to write theses, dissertations, as well as research publications. The book is comprehensive in its coverage of univariate through to multivariate procedures, while serving as a friendly and gentle introduction to R software for the newcomer. This important resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical software Provides a resource for students and professionals in the social, behavioral, and natural sciences Puts the emphasis on the computational tools used in the discovery of empirical patterns Features a variety of popular statistical analyses and data management tasks that can be immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started quickly performing essential tasks in data analysis and data science Written for students, professionals, and researchers primarily in the social, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis fast, with an emphasis on drawing conclusions from empirical observations. The book can also serve as a primary or secondary textbook for courses in data analysis or data science, or others in which quantitative methods are featured.
Un Modelo De Regresi N Poisson Inflado Con Ceros
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Author : María de Lourdes Velasco Vázquez
language : es
Publisher:
Release Date : 2012-09-22
Un Modelo De Regresi N Poisson Inflado Con Ceros written by María de Lourdes Velasco Vázquez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-22 with categories.
Learning Predictive Analytics With R
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Author : Eric Mayor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-09-24
Learning Predictive Analytics With R written by Eric Mayor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-24 with Computers categories.
Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Comprehensible guidelines that focus on predictive model design with real-world data Who This Book Is For If you are a statistician, chief information officer, data scientist, ML engineer, ML practitioner, quantitative analyst, and student of machine learning, this is the book for you. You should have basic knowledge of the use of R. Readers without previous experience of programming in R will also be able to use the tools in the book. What You Will Learn Customize R by installing and loading new packages Explore the structure of data using clustering algorithms Turn unstructured text into ordered data, and acquire knowledge from the data Classify your observations using Naive Bayes, k-NN, and decision trees Reduce the dimensionality of your data using principal component analysis Discover association rules using Apriori Understand how statistical distributions can help retrieve information from data using correlations, linear regression, and multilevel regression Use PMML to deploy the models generated in R In Detail R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with its many standard and cutting-edge statistical functions. This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naive Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages. Style and approach This is a practical book, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this book, but that can also be applied to any other data.
Monitoring Ecological Change
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Author : Ian F. Spellerberg
language : en
Publisher: Cambridge University Press
Release Date : 2005-08-18
Monitoring Ecological Change written by Ian F. Spellerberg and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-18 with Nature categories.
The state of ecosystems, biological communities and species are continuously changing as a result of both natural processes and the activities of humans. In order to detect and understand these changes, effective ecological monitoring programmes are required. This book offers an introduction to the topic and provides both a rationale for monitoring and a practical guide to the techniques available. Written in a nontechnical style, the book covers the relevance and growth of ecological monitoring, the organizations and programmes involved, the science of ecological monitoring and an assessment of methods in practice, including many examples from monitoring programmes around the world. Building on the success of the first edition, this edition has been fully revised and updated with two additional chapters covering the relevance of monitoring to the reporting of the state of the environment, and the growth of community based ecological monitoring.
Corporate Reputation
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Author : Ángel Alloza
language : en
Publisher: Editorial Almuzara
Release Date : 2013-06
Corporate Reputation written by Ángel Alloza and has been published by Editorial Almuzara this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06 with Business & Economics categories.
Reputation has become an essential strategic asset for companies. Those businesses that enjoy a good reputation are able to differentiate themselves, thus attracting investments and retaining customers and employees, while at the same time, stakeholders of such companies demonstrate higher levels of satisfaction and loyalty towards the companies’ products and brands. Currently, corporate reputation is one of the most popular non-financial indicators used by organizations, both in the public and private sectors. This book is an in-depth investigation of the psychosocial nature of corporate reputation, and we invite the reader to join us on a journey of discovery. When reputation first appeared as a concept, it brought about promises and hopes. It was viewed as a solution capable of reconciling the interests of different stakeholders and making the whole organization stronger. However, this giant soon turned out to have feet of clay, as it was lacking in sufficient theoretical and methodological foundation. Nonetheless, when we step into the terra incognita of corporate intangible assets, we will understand that the vague idea of reputation is gradually acquiring a scientific form thanks to the development of measurement tools and models that lay a foundation for the long sought-after means of managing reputation.
Practical Plant Layout
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Author : Richard Muther
language : en
Publisher: McGraw-Hill Companies
Release Date : 1955
Practical Plant Layout written by Richard Muther and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1955 with Technology & Engineering categories.
Textbooks on ergonomics, with particular reference to factory organization in engineering industries - covers factors in the utilisation of machine tools and other equipment, psychological aspects, occupational safety, storage, maintenance, production processes, quality control, time factors, the elimination of noise, etc. Organisational diagrams.
The Intuitive Sources Of Probabilistic Thinking In Children
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Author : H. Fischbein
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Intuitive Sources Of Probabilistic Thinking In Children written by H. Fischbein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Psychology categories.
About a year ago I promised my friend Fischbein a preface to his book of which I knew the French manuscript. Now with the printer's proofs under my eyes I like the book even better than I did then, because of, and influenced by, new experiences in the meantime, and fresh thoughts that crossed my mind. Have I been influenced by what I remembered from the manuscript? If so, it must have happened unconsciously. But of course, what struck me in this work a year ago, struck a responsive chord in my own mind. In the past, mathematics teaching theory has strongly been influenced by a view on mathematics as a heap of concepts, and on learning mathematics as concepts attainment. Mathematics teaching practice has been jeopardised by this theoretical approach, which in its most dangerous form expresses itself as a radical atomism. To concepts attainment Fischbein opposes acquisition of intuitions. In my own publications I avoided the word "intuition" because of the variety of its meanings across languages. For some time I have used the term "constitution of mathematical objects", which I think means the same as Fischbein's "acquisition of intuitions" - indeed as I view it, constituting a mental object precedes its conceptualising, and under this viewpoint I tried to observe mathematical activities of young children.