000779587 000__ 06524cam\a2200493Ii\4500 000779587 001__ 779587 000779587 005__ 20230306143026.0 000779587 006__ m\\\\\o\\d\\\\\\\\ 000779587 007__ cr\nn\nnnunnun 000779587 008__ 170216s2017\\\\sz\a\\\\o\\\\\000\0\eng\d 000779587 019__ $$a974455511$$a974554017$$a981869175 000779587 020__ $$a9783319507422$$q(electronic book) 000779587 020__ $$a3319507427$$q(electronic book) 000779587 020__ $$z9783319507415 000779587 020__ $$z3319507419 000779587 0247_ $$a10.1007/978-3-319-50742-2$$2doi 000779587 035__ $$aSP(OCoLC)ocn972735320 000779587 035__ $$aSP(OCoLC)972735320$$z(OCoLC)974455511$$z(OCoLC)974554017$$z(OCoLC)981869175 000779587 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCF$$dUAB$$dCOO$$dIOG$$dAZU$$dUWO$$dUPM 000779587 049__ $$aISEA 000779587 050_4 $$aHB139 000779587 08204 $$a330.01/5195$$223 000779587 24500 $$aRobustness in econometrics /$$cVladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh, editors. 000779587 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017. 000779587 300__ $$a1 online resource (x, 705 pages) :$$billustrations (some color). 000779587 336__ $$atext$$btxt$$2rdacontent 000779587 337__ $$acomputer$$bc$$2rdamedia 000779587 338__ $$aonline resource$$bcr$$2rdacarrier 000779587 347__ $$atext file$$bPDF$$2rda 000779587 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 692 000779587 5050_ $$aPart I Keynote Addresses: Robust Estimation of Heckman Model -- Part II Fundamental Theory: Sequential Monte Carlo Sampling for State Space Models -- Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty -- Why Cannot We Have a Strongly Consistent Family of Skew Normal (and Higher Order) Distributions -- Econometric Models of Probabilistic Choice: Beyond McFadden?s Formulas -- How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES -- How to Make Plausibility-Based Forecasting More Accurate -- Structural Breaks of CAPM-type Market Model with Heteroskedasticity and Quantile Regression -- Weighted Least Squares and Adaptive Least Squares: Further Empirical Evidence -- Prior-free probabilistic inference for econometricians -- Robustness in Forecasting Future Liabilities in Insurance -- On Conditioning in Multidimensional Probabilistic Models -- New Estimation Method for Mixture of Normal Distributions -- EM Estimation for Multivariate Skew Slash Distribution -- Constructions of multivariate copulas -- Plausibility regions on the skewness parameter of skew normal distributions based on inferential models -- International Yield Curve Prediction with Common Functional Principal Component Analysis -- An alternative to p-values in hypothesis testing with applications in model selection of stock price data -- Confidence Intervals for the Common Mean of Several Normal Populations -- A generalized information theoretical approach to Non-linear time series model -- Predictive recursion maximum likelihood of Threshold Autoregressive model -- A multivariate generalized FGM copulas and its application to multiple regression -- Part III Applications: Key Economic Sectors and Their Transitions: Analysis of World Input-Output Network -- Natural Resources, Financial Development and Sectoral Value Added in a Resource Based Economy -- Can bagging improve the forecasting performance of tourism demand models? -- The Role of Asian Credit Default Swap Index in Portfolio Risk Management -- Chinese outbound tourism demand to Singapore, Malaysia and Thailand destinations: A study of political events and holiday impacts -- Forecasting Asian Credit Default Swap spreads: A comparison of multi-regime models -- Forecasting Asian Credit Default Swap spreads: A comparison of multi-regime models -- Effect of Helmet Use on Severity of Head Injuries Using Doubly Robust Estimators -- Forecasting cash holding with cash deposit using time series approaches -- Forecasting GDP Growth in Thailand with Different Leading Indicators using MIDAS regression models -- Testing the Validity of Economic Growth Theories Using Copula-based Seemingly Unrelated Quantile Kink Regression -- Analysis of Global Competitiveness Using Copula-based Stochastic Frontier Kink Model -- Gravity model of trade with Linear Quantile Mixed Models approach -- Stochastic Frontier Model in Financial Econometrics: A Copula-based Approach -- Quantile Forecasting of PM10 Data in Korea based on Time Series Models -- Do We Have Robust GARCH Models under Different Mean Equations: Evidence from Exchange Rates of Thailand? -- Joint Determinants of Foreign Direct Investment (FDI) Inflow in Cambodia: A Panel Co-integration Approach -- The Visitors? Attitudes and Perceived Value toward Rural Regeneration Community Development of Taiwan -- Analyzing the contribution of ASEAN stock markets to systemic risk -- Estimating Efficiency of Stock Return with Interval Data -- The impact of extreme events on portfolio in financial risk management -- Foreign Direct Investment, Exports and Economic Growth in ASEAN Region: Empirical Analysis from Panel Data -- Author Index. 000779587 506__ $$aAccess limited to authorized users. 000779587 520__ $$aThis book presents recent research on robustness in econometrics. Robust data processing techniques ? i.e., techniques that yield results minimally affected by outliers ? and their applications to real-life economic and financial situations are the main focus of this book. The book also discusses applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. In day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. As such, it is important to develop robust data processing techniques that can accommodate these fluctuations. 000779587 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 16, 2017). 000779587 650_0 $$aEconometrics. 000779587 7001_ $$aKreinovich, Vladik,$$eeditor. 000779587 7001_ $$aSriboonchitta, Songsak,$$eeditor. 000779587 7001_ $$aHuynh, Van-Nam,$$eeditor. 000779587 77608 $$iPrint version:$$z3319507419$$z9783319507415$$w(OCoLC)962887345 000779587 830_0 $$aStudies in computational intelligence ;$$vv. 692. 000779587 852__ $$bebk 000779587 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-50742-2$$zOnline Access$$91397441.1 000779587 909CO $$ooai:library.usi.edu:779587$$pGLOBAL_SET 000779587 980__ $$aEBOOK 000779587 980__ $$aBIB 000779587 982__ $$aEbook 000779587 983__ $$aOnline 000779587 994__ $$a92$$bISE