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Time Series with Long Memory (Advanced Texts in Econometrics Series) Book

Time Series with Long Memory (Advanced Texts in Econometrics Series)
Time Series with Long Memory (Advanced Texts in Econometrics Series), Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application, Time Series with Long Memory (Advanced Texts in Econometrics Series) has a rating of 4.5 stars
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Time Series with Long Memory (Advanced Texts in Econometrics Series), Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application, Time Series with Long Memory (Advanced Texts in Econometrics Series)
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  • Time Series with Long Memory (Advanced Texts in Econometrics Series)
  • Written by author Peter M. Robinson
  • Published by Oxford University Press, August 2003
  • Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application
  • Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application
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Book Categories

Authors

Introduction1
References3
1Long-memory Time Series4
2On Large-sample Estimation for the Mean of a Stationary Random Sequence33
3An Introduction to Long-memory Time Series Models and Fractional Differencing49
4Large-sample Properties of Parameter Estimates for Strongly Dependent Stationary Gaussian Time Series65
5Long-term Memory in Stock Market Prices82
6The Estimation and Application of Long-memory Time Series Models119
7Gaussian Semiparametric Estimation of Long-range Dependence138
8Testing for Strong Serial Correlation and Dynamic Conditional Heteroskedasticity in Multiple Regression175
9The Detection and Estimation of Long Memory in Stochastic Volatility191
10Efficient Tests of Nonstationary Hypotheses214
11Estimation of the Memory Parameter for Nonstationary or Noninvertible Fractionally Integrated Processes251
12Limit Theorems for Regressions with Unequal and Dependent Errors278
13Time Series Regression with Long-range Dependence305
14Semiparametric Frequency Domain Analysis of Fractional Cointegration334
Index375


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Time Series with Long Memory (Advanced Texts in Econometrics Series), Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application, Time Series with Long Memory (Advanced Texts in Econometrics Series)

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Time Series with Long Memory (Advanced Texts in Econometrics Series), Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application, Time Series with Long Memory (Advanced Texts in Econometrics Series)

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Time Series with Long Memory (Advanced Texts in Econometrics Series), Time Series with Long Memory comprises a collection on time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed with empirical application, Time Series with Long Memory (Advanced Texts in Econometrics Series)

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