Crónicas matemáticas

1. Muestreo y estimación: Inferencia estadística. Estimación puntual, propiedades de estimadores y métodos de obtención. Distribución asociada a X y S2. Estimación por intervalos. Distribución asociada a regresión lineal, estimadores e intervalos de confianza. 2. Contraste de hipótesis simples y Lema de Neyman Pearson. Contraste unilateral UMP. Probabilidad de error. Test de razón de verosimilitud o cociente de verosimilitud. Contraste para parámetros de población. Contraste en regresión lineal simple. 3. Contrastes no paramétricos: bondad de ajuste, independencia y...

"Neutrosophic Computing and Machine Learning" (NCML) has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning etc. and their applications in any field. "Neutrosophic Computing and Machine Learning" (NCML) ha sido creada para publicaciones de estudios avanzados en neutrosofía, conjunto neutrosófico, lógica neutrosófica, probabilidad neutrosófica, estadística neutrosófica, enfoques neutrosó-ficos para el aprendizaje automático, etc. y sus...

What is the arithmetic triangle? What is the purpose of the summation symbol? How did the architects of the 17th century calculate their structures? These and many other questions about Mathematics will be solved in this enjoyable and revealing book.

This book presents conventions, mathematical concepts, definitions and applications central to the geometric modeling of solids, shells and wires (engineering jargon) embedded in 3D space. Currently, software is available for geometric modeling of technical or natural scenarios. However, the models built frequently fail in supporting the subsequent engineering computing and simulations. Only after repeated iterations and re-design, the models permit engineering / science simulations. This book endows the reader with the basic mathematical concepts needed to ensure that the geometric models...