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Error analysis (Mathematics) --- Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Errors, Theory of --- Mathematical statistics --- Multivariate analysis --- Structural equation modeling --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics
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1. 1. The general linear model All econometric research is based on a set of numerical data relating to certain economic quantities, and makes infer ences from the data about the ways in which these quanti ties are related (Malinvaud 1970, p. 3). The linear relation is frequently encountered in applied econometrics. Let y and x denote two economic quantities, then the linear relation between y and x is formalized by: where {31 and {32 are constants. When {31 and {32 are known numbers, the value of y can be calculated for every given value of x. Here y is the dependent variable and x is the explanatory variable. In practical situations {31 and {32 are unknown. We assume that a set of n observations on y and x is available. When plotting the ob served pairs (x l' YI)' (x ' Y2)' . . . , (x , Y n) into a diagram with x 2 n measured along the horizontal axis and y along the vertical axis it rarely occurs that all points lie on a straight line. Generally, no b 1 and b exist such that Yi = b + b x for i = 1,2, . . . ,n. Unless 2 l 2 i the diagram clearly suggests another type of relation, for instance quadratic or exponential, it is customary to adopt linearity in order to keep the analysis as simple as possible.
Mathematical statistics --- Economics --- Error analysis (Mathematics) --- Mathematical models --- #TELE:SISTA --- Theses --- Business & Economics --- Economic Theory --- Economics, Mathematical --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics --- Economics - Mathematical models
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Mathematical statistics --- Least squares. --- Error analysis (Mathematics) --- Least squares --- #TELE:SISTA --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics
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Numerical analysis --- Computer science --- Error analysis (Mathematics) --- Data processing --- -519.6 --- 681.3 *G10 --- Mathematical analysis --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Statistics --- Computational mathematics. Numerical analysis. Computer programming --- Computerwetenschap--?*G10 --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 519.6 --- Numerical analysis - Data processing --- Error analysis(Mathematics) --- Numerical analysis-data processing
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"This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed"
Mathematical statistics --- Error analysis (Mathematics) --- Sampling (Statistics) --- Estimation theory --- Estimation theory. --- #SBIB:303H510 --- #SBIB:303H32 --- Estimating techniques --- Least squares --- Stochastic processes --- Random sampling --- Statistics of sampling --- Statistics --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Surveys--Mathematical models. --- Surveys.
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Mathematical statistics --- Error analysis (Mathematics) --- Surveys --- wiskundige statistiek --- #SBIB:303H510 --- 303.3 --- 304.8 --- AA / International- internationaal --- 303.7 --- Government surveys --- Mathematical geography --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics --- 303.7 Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek) --- Steekproeftheorie --- Error analysis (Mathematics). --- Surveys.
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Error analysis (Mathematics) --- Health surveys --- #SBIB:303H0 --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Public health surveys --- Surveys --- Medical statistics --- Statistical methods --- Methoden in de sociale wetenschappen: algemeen --- Methods in social research (general) --- Sociology of health --- Biomathematics. Biometry. Biostatistics
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Numerical solutions of algebraic equations --- Numerical solutions of differential equations --- 519.61 --- Error analysis (Mathematics) --- Numerical calculations --- Reaction-diffusion equations --- Diffusion-reaction equations --- Equations, Reaction-diffusion --- Differential equations, Parabolic --- Numerical analysis --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Statistics --- Numerical methods of algebra --- Numerical calculations. --- Reaction-diffusion equations. --- Error analysis (Mathematics). --- 519.61 Numerical methods of algebra --- Équations de réaction-diffusion --- Calculs numériques --- Calcul d'erreur --- Équations de réaction-diffusion. --- Calculs numériques. --- Calcul d'erreur.
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Mathematical statistics --- Approximation theory --- Error analysis (Mathematics) --- Mathematical models --- Congresses --- -Error analysis (Mathematics) --- -Mathematical models --- -519.6 --- 681.3*G1 --- Models, Mathematical --- Simulation methods --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics --- Theory of approximation --- Functional analysis --- Functions --- Polynomials --- Chebyshev systems --- Computational mathematics. Numerical analysis. Computer programming --- 681.3*G1 Numerical analysis --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 519.6 --- Approximation theory - Congresses --- Error analysis (Mathematics) - Congresses --- Mathematical models - Congresses
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Measuring methods in physics --- Mathematical physics --- Physical measurements. --- Error analysis (Mathematics) --- Mathematical physics. --- Mesures physiques --- Erreurs, Théorie des --- Physique mathématique --- Physics --- Mesure --- Measurement --- 53.088 --- Physical measurements --- #WSCH:AAS1 --- Measurements, Physical --- Physical mathematics --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Errors. Error correction. Evaluation, interpretation of measurements --- Mathematics --- Error analysis (Mathematics). --- 53.088 Errors. Error correction. Evaluation, interpretation of measurements --- Erreurs, Théorie des --- Physique mathématique --- MATHEMATICAL PHYSICS --- MATHEMATICS --- ERROR ANALYSIS --- Monograph --- Mathematics. --- Math --- Science --- Statistique mathématique --- Mathematical statistics. --- Statistique mathématique --- Physique statistique --- Calcul d'erreur --- Theorie des erreurs
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