000 | 06796nam a22005655i 4500 | ||
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001 | 978-3-319-50742-2 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 170212s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319507422 _9978-3-319-50742-2 |
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024 | 7 |
_a10.1007/978-3-319-50742-2 _2doi |
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245 | 1 | 0 |
_aRobustness in Econometrics _h[electronic resource] / _cedited by Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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300 |
_aX, 705 p. 129 illus., 120 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v692 |
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505 | 0 | _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. | |
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. | ||
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aEconometrics. _920971 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aEconometrics. _920971 |
700 | 1 |
_aKreinovich, Vladik. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952572 |
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700 | 1 |
_aSriboonchitta, Songsak. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952573 |
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700 | 1 |
_aHuynh, Van-Nam. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952574 |
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710 | 2 |
_aSpringerLink (Online service) _952575 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319507415 |
776 | 0 | 8 |
_iPrinted edition: _z9783319507439 |
776 | 0 | 8 |
_iPrinted edition: _z9783319844800 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v692 _952576 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-50742-2 |
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