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Geophysics --- Geofísica --- Geophysics. --- PUBLICACIONES PERIODICAS. --- South America. --- South America
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Geophysics --- Geofísica --- Geophysics. --- PUBLICACIONES PERIODICAS. --- South America. --- South America
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Geophysics. --- Linear models (Statistics) --- Mathematical models. --- Geofísica --- Models lineals (Estadística) --- Models matemàtics
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Geophysics --- Geofísica --- Geophysics. --- Geological physics --- Terrestrial physics --- Earth sciences --- Physics --- PUBLICACIONES PERIODICAS. --- South America. --- Earth Sciences --- Hydrology --- Marine Geology and Oceanography --- General and Others
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All’inizio degli anni Trenta Guglielmo Marconi, nominato presidente del Cnr per diretta volontà di Mussolini, recepì le richieste di rinnovamento della Fisica terrestre avanzate dai settori più sensibili del mondo accademico e, fra non poche difficoltà e contrasti, avviò la costituzione di un moderno Istituto nazionale di geofisica. L’Italia martoriata da ricorrenti crisi sismiche e vulcaniche necessitava di reti di sorveglianza più efficienti e di un ammodernamento degli studi: l’impresa fu affidata a un fisico affermato, Antonino Lo Surdo, che in pochi anni ebbe la capacità di mobilitare uomini e risorse per il raggiungimento dell’obiettivo. Basandosi sul ritrovamento di documenti inediti e sull’analisi di pubblicazioni scientifiche dell’epoca, gli autori hanno ricostruito la storia di questa impresa che si sviluppa nello stesso contesto della scuola di fisica romana degli anni Trenta, coinvolgendo molti dei collaboratori e seguaci di Enrico Fermi. Fanno da sfondo gli anni del consenso al fascismo, della guerra mondiale e della defascistizzazione, durante i quali virtù scientifiche e debolezze umane di alcuni protagonisti, a partire da Lo Surdo, si evidenziano nel loro stridente contrasto.
Geophysics --Research --Italy --History --20th century. --- Geophysics. --- Istituto nazionale di geofisica (Italy). --- Lo Surdo, Antonio. --- Geophysics --- Physics --- Geology --- Physical Sciences & Mathematics --- Earth & Environmental Sciences --- Cosmic Physics --- Geology - General --- History --- Research --- Istituto nazionale di geofisica (Italy) --- Geological physics --- Terrestrial physics --- Italy. Istituto nazionale di geofisica e vulcanologia --- Italia. Istituto nazionale di geofisica --- Earth sciences. --- History. --- Geology. --- Physics. --- Earth Sciences. --- Geophysics/Geodesy. --- Earth Sciences, general. --- History of Science. --- Physics, general. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Earth sciences --- Geognosy --- Geoscience --- Natural history --- Annals --- Auxiliary sciences of history --- Geosciences --- Environmental sciences --- Physical geography. --- Geography. --- Cosmography --- World history --- Geography
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This book provides numerous examples of linear and nonlinear model applications. Here, we present a nearly complete treatment of the Grand Universe of linear and weakly nonlinear regression models within the first 8 chapters. Our point of view is both an algebraic view and a stochastic one. For example, there is an equivalent lemma between a best, linear uniformly unbiased estimation (BLUUE) in a Gauss-Markov model and a least squares solution (LESS) in a system of linear equations. While BLUUE is a stochastic regression model, LESS is an algebraic solution. In the first six chapters, we concentrate on underdetermined and overdetermined linear systems as well as systems with a datum defect. We review estimators/algebraic solutions of type MINOLESS, BLIMBE, BLUMBE, BLUUE, BIQUE, BLE, BIQUE, and total least squares. The highlight is the simultaneous determination of the first moment and the second central moment of a probability distribution in an inhomogeneous multilinear estimation by the so-called E-D correspondence as well as its Bayes design. In addition, we discuss continuous networks versus discrete networks, use of Grassmann-Plucker coordinates, criterion matrices of type Taylor-Karman as well as FUZZY sets. Chapter seven is a speciality in the treatment of an overjet. This second edition adds three new chapters: (1) Chapter on integer least squares that covers (i) model for positioning as a mixed integer linear model which includes integer parameters. (ii) The general integer least squares problem is formulated, and the optimality of the least squares solution is shown. (iii) The relation to the closest vector problem is considered, and the notion of reduced lattice basis is introduced. (iv) The famous LLL algorithm for generating a Lovasz reduced basis is explained. (2) Bayes methods that covers (i) general principle of Bayesian modeling. Explain the notion of prior distribution and posterior distribution. Choose the pragmatic approach for exploring the advantages of iterative Bayesian calculations and hierarchical modeling. (ii) Present the Bayes methods for linear models with normal distributed errors, including noninformative priors, conjugate priors, normal gamma distributions and (iii) short outview to modern application of Bayesian modeling. Useful in case of nonlinear models or linear models with no normal distribution: Monte Carlo (MC), Markov chain Monte Carlo (MCMC), approximative Bayesian computation (ABC) methods. (3) Error-in-variables models, which cover: (i) Introduce the error-in-variables (EIV) model, discuss the difference to least squares estimators (LSE), (ii) calculate the total least squares (TLS) estimator. Summarize the properties of TLS, (iii) explain the idea of simulation extrapolation (SIMEX) estimators, (iv) introduce the symmetrized SIMEX (SYMEX) estimator and its relation to TLS, and (v) short outview to nonlinear EIV models. The chapter on algebraic solution of nonlinear system of equations has also been updated in line with the new emerging field of hybrid numeric-symbolic solutions to systems of nonlinear equations, ermined system of nonlinear equations on curved manifolds. The von Mises-Fisher distribution is characteristic for circular or (hyper) spherical data. Our last chapter is devoted to probabilistic regression, the special Gauss-Markov model with random effects leading to estimators of type BLIP and VIP including Bayesian estimation. A great part of the work is presented in four appendices. Appendix A is a treatment, of tensor algebra, namely linear algebra, matrix algebra, and multilinear algebra. Appendix B is devoted to sampling distributions and their use in terms of confidence intervals and confidence regions. Appendix C reviews the elementary notions of statistics, namely random events and stochastic processes. Appendix D introduces the basics of Groebner basis algebra, its careful definition, the Buchberger algorithm, especially the C. F. Gauss combinatorial algorithm.
Statistical science --- Algebra --- Geology. Earth sciences --- algebra --- lineaire algebra --- statistiek --- geologie --- statistisch onderzoek --- Geophysics. --- Linear models (Statistics) --- Mathematical models. --- Geofísica --- Models lineals (Estadística) --- Models matemàtics
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This book deals with magnetic anomaly maps and their properties. These properties are essential to modeling the elimination of the uncertainty problem of buried archaeological structure locations and depths. To this end, several models are presented and their quantitative properties are studied. Numerical simulations have been created, confirming theoretical results that were obtained.
Mathematics --- Computer. Automation --- Archeology --- toegepaste wiskunde --- informatica --- wiskunde --- archeologie --- Mathematics. --- Archaeology. --- Applications of Mathematics. --- Computational Mathematics and Numerical Analysis. --- Data processing. --- Geofísica --- Arqueologia --- Anomalies magnètiques --- Models matemàtics
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Geofísica --- Models matemàtics --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models lineals (Estadística) --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Física geològica --- Física terrestre --- Ciències de la Terra --- Física --- Aurores --- Continents --- Física atmosfèrica --- Geodinàmica --- Geologia ambiental --- Geologia isotòpica --- Geomagnetisme --- Geotèrmia --- Gravetat --- Magnetohidrodinàmica --- Meteorologia --- Prospecció geofísica --- Sedimentació --- Sismologia --- Transferència radiativa --- Geofísics --- Mathematical analysis. --- Geophysics. --- Geological physics --- Terrestrial physics --- Earth sciences --- Physics --- 517.1 Mathematical analysis --- Mathematical analysis
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Geophysics. --- Linear models (Statistics) --- Mathematical models. --- Models, Mathematical --- Simulation methods --- Models, Linear (Statistics) --- Mathematical models --- Mathematical statistics --- Statistics --- Geological physics --- Terrestrial physics --- Earth sciences --- Physics --- Geofísica --- Models lineals (Estadística) --- Models matemàtics --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models multinivell (Estadística) --- Models no lineals (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Estadística --- Estadística matemàtica --- Física geològica --- Física terrestre --- Ciències de la Terra --- Física --- Aurores --- Continents --- Física atmosfèrica --- Geodinàmica --- Geologia ambiental --- Geologia isotòpica --- Geomagnetisme --- Geotèrmia --- Gravetat --- Magnetohidrodinàmica --- Meteorologia --- Prospecció geofísica --- Sedimentació --- Sismologia --- Transferència radiativa --- Geofísics
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Heat --- Transmission. --- Heat transfer --- Thermal transfer --- Transmission of heat --- Energy transfer --- Transmissió de la calor --- Transferència de massa --- Geodinàmica --- Escorça terrestre --- Teoria del transport --- Termodinàmica --- Transferència de càrrega --- Geofísica --- Tectònica salina --- Volcans --- Vulcanisme --- Biosfera --- Erosió --- Termocinètica --- Calor --- Transferència d'energia --- Bescanviadors de calor --- Conducció de la calor --- Propietats tèrmiques --- Crosta terrestre --- Litosfera --- Superfície terrestre --- Terra (Planeta)
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