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Download or read book Estadistica aplicada a las ciencias experimentales written by José Emilio Gondar Nores and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Estad stica aplicada a las ciencias experimentales bioestad stica written by and published by . This book was released on 1970* with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Estad stica aplicada a experimentos y mediciones written by Ruiz Morillas, Enrique and published by Ediciones Díaz de Santos. This book was released on 2016-01-01 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: El objetivo de este libro es presentar al lector los conceptos principales dela Probabilidad y la Estadística, necesarios para la interpretación de resultados y observaciones. En primer lugar se introducen los conceptos de frecuencia, función estadística de distribución, valor medio y dispersión como características experimentales de los experimentos, las cuales permiten abordar el concepto de probabilidad y otras características teóricas. A continuación se definen y estudian las variables aleatorias y sus propiedades principales. Se estudia la distribución discreta binomial, y a partir de ella se obtiene la distribución continua normal. Se presentan también las distribuciones gamma, ji cuadrada, Z2 y distribución F. Dado que los experimentos generan conjuntos de datoslimitados, es necesario desarrollar el concepto de muestra, estadístico y distribución muestral. Con ello se tienen los elementos necesarios para obtener la información asociada a la totalidad de elementos objeto de estudio de los experimentos mediante la estimación de parámetros poblacionales y la obtención de sus intervalos de con?anza. Todo ello se ha tratado con ejemplos desarrollados a partir de datos experimentales y gráficos obtenidos mediante el cálculo real de las funciones presentadas y de los experimentos analizados, que el lector puede reproducir en su mayor parte mediante una hoja de cálculo. Este trabajo va dirigido a estudiantes universitarios de carreras científicas y técnicas, y personas que de un modo u otro estén vinculadas con la ciencia.

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Download or read book T cnicas estad sticas aplicadas a las ciencias de la salud written by José Emilio Gondar Nores and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Recurrent Events Data Analysis for Product Repairs Disease Recurrences and Other Applications written by Wayne B. Nelson and published by SIAM. This book was released on 2003-01-01 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survival data consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. However, many applications involve repeated-events data, where a unit may accumulate numerous events over time. This applied book provides practitioners with basic nonparametric methods for such data.

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Download or read book Statistical Data Editing Methods and techniques written by United Nations. Statistical Commission and published by . This book was released on 1994 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first volume defined statistical data editing and presented associated methods and software. This volume, containing some 30 contributions divided into six chapters, addresses how to solve individual data editing tasks, focusing on efficient techniques for data editing operations and for evaluat

Download or read book Statistical Methods for Spatial Data Analysis written by Oliver Schabenberger and published by CRC Press. This book was released on 2004-12-20 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.