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Econometric models --- Nonlinear theories --- Modèles économétriques --- Théories non linéaires --- 330.115 --- 330.015195 --- 305.971 --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Econometrics --- Mathematical models --- Econometrie --- Speciale gevallen in econometrische modelbouw. --- Econometric models. --- Nonlinear theories. --- 330.115 Econometrie --- Modèles économétriques --- Théories non linéaires --- Speciale gevallen in econometrische modelbouw --- Économétrie --- Relations non-lineaires

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Amongmanyexcitingdevelopmentsinstatisticsoverthelasttwodecades, nonlineartimeseriesanddata-analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In spite of the fact that the - plication of nonparametric techniques in time series can be traced back to the 1940s at least, there still exists healthy and justi?ed skepticism about the capability of nonparametric methods in time series analysis. As - thusiastic explorers of the modern nonparametric toolkit, we feel obliged to assemble together in one place the newly developed relevant techniques. Theaimofthisbookistoadvocatethosemodernnonparametrictechniques that have proven useful for analyzing real time series data, and to provoke further research in both methodology and theory for nonparametric time series analysis. Modern computers and the information age bring us opportunities with challenges. Technological inventions have led to the explosion in data c- lection (e.g., daily grocery sales, stock market trading, microarray data). The Internet makes big data warehouses readily accessible. Although cl- sic parametric models, which postulate global structures for underlying systems, are still very useful, large data sets prompt the search for more re?nedstructures,whichleadstobetterunderstandingandapproximations of the real world. Beyond postulated parametric models, there are in?nite other possibilities. Nonparametric techniques provide useful exploratory tools for this venture, including the suggestion of new parametric models and the validation of existing ones.

Time-series analysis --- Nonlinear theories --- 519.55 --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- 303.0 --- 304.0 --- 305.971 --- AA / International- internationaal --- 519.246 --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Speciale gevallen in econometrische modelbouw --- Nonlinear theories. --- Time-series analysis. --- Série chronologique --- Théories non linéaires --- EPUB-LIV-FT SPRINGER-B --- Probabilities. --- Statistics . --- Economics, Mathematical . --- Econometrics. --- Probability Theory and Stochastic Processes. --- Statistical Theory and Methods. --- Quantitative Finance. --- Economics, Mathematical --- Statistics --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Methodology

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Numerical solutions of differential equations --- Computer science --- Chaotic behavior in systems --- Algorithms --- Nonlinear theories --- Chaos --- Algorithmes --- Théories non linéaires --- 519.6 --- 681.3 *G18 --- 681.3*G17 --- AA / International- internationaal --- 306.3 --- 303.3 --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Differentiable dynamical systems --- Dynamics --- System theory --- Algorism --- Algebra --- Arithmetic --- Computational mathematics. Numerical analysis. Computer programming --- Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- Ordinary differential equations: boundary value problems; convergence and stability; error analysis; initial value problems; multistep methods; single step methods; stiff equations (Numerical analysis) --- Vergissing, waarschijnlijkheid (toegepaste statistiek). --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek). --- Foundations --- 681.3*G17 Ordinary differential equations: boundary value problems; convergence and stability; error analysis; initial value problems; multistep methods; single step methods; stiff equations (Numerical analysis) --- 681.3 *G18 Partial differential equations: difference methods; elliptic equations; finite element methods; hyperbolic equations; method of lines; parabolic equations (Numerical analysis) --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Théories non linéaires --- Waarschijnlijkheid. Probabiliteit. Nauwkeurigheid. Residuals: measurement and specification (wiskundige statistiek) --- Vergissing, waarschijnlijkheid (toegepaste statistiek)