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Short-memory linear processes and econometric applications [[electronic resource] /] / Kairat T. Mynbaev
| Short-memory linear processes and econometric applications [[electronic resource] /] / Kairat T. Mynbaev |
| Autore | Mynbaev K. T (Kaĭrat Turysbekovich) |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2011 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina |
519.7/2
519.72 |
| Soggetto topico |
Linear programming
Econometric models Regression analysis Probabilities |
| ISBN |
1-283-09865-2
9786613098658 1-118-00767-0 1-118-00768-9 1-118-00766-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
SHORT-MEMORY LINEAR PROCESSES AND ECONOMETRIC APPLICATIONS; List of Tables; Preface; Acknowledgments; 1 INTRODUCTION TO OPERATORS, PROBABILITIES AND THE LINEAR MODEL; 1.1 Linear Spaces; 1.2 Normed Spaces; 1.3 Linear Operators; 1.4 Hilbert Spaces; 1.5 L(p) Spaces; 1.6 Conditioning on σ-fields; 1.7 Matrix Algebra; 1.8 Convergence of Random Variables; 1.9 The Linear Model; 1.10 Normalization of Regressors; 1.11 General Framework in the case of K Regressors; 1.12 Introduction to L(2)-Approximability; 2 L(p)-APPROXIMABLE SEQUENCES OF VECTORS
2.1 Discretization, Interpolation and Haar Projector in L(p)2.2 Convergence of Bilinear Forms; 2.3 The Trinity and Its Boundedness in l(p); 2.4 Convergence of the Trinity on L(p)-Generated Sequences; 2.5 Properties of L(p)-Approximable Sequences; 2.6 Criterion of L(p)-Approximability; 2.7 Examples and Counterexamples; 3 CONVERGENCE OF LINEAR AND QUADRATIC FORMS; 3.1 General Information; 3.2 Weak Laws of Large Numbers; 3.3 Central Limit Theorems for Martingale Differences; 3.4 Central Limit Theorems for Weighted Sums of Martingale Differences 3.5 Central Limit Theorems for Weighted Sums of Linear Processes3.6 L(p)-Approximable Sequences of Matrices; 3.7 Integral operators; 3.8 Classes σ(p); 3.9 Convergence of Quadratic Forms of Random Variables; 4 REGRESSIONS WITH SLOWLY VARYING REGRESSORS; 4.1 Slowly Varying Functions; 4.2 Phillips Gallery 1; 4.3 Slowly Varying Functions with Remainder; 4.4 Results Based on L(p)-Approximability; 4.5 Phillips Gallery 2; 4.6 Regression with Two Slowly Varying Regressors; 5 SPATIAL MODELS; 5.1 A Math Introduction to Purely Spatial Models; 5.2 Continuity of Nonlinear Matrix Functions 5.3 Assumption on the Error Term and Implications5.4 Assumption on the Spatial Matrices and Implications; 5.5 Assumption on the Kernel and Implications; 5.6 Linear and Quadratic Forms Involving Segments of K; 5.7 The Roundabout Road; 5.8 Asymptotics of the OLS Estimator for Purely Spatial Model; 5.9 Method of Moments and Maximum Likelihood; 5.10 Two-Step Procedure; 5.11 Examples and Computer Simulation; 5.12 Mixed Spatial Model; 5.13 The Roundabout Road (Mixed Model); 5.14 Asymptotics of the OLS Estimator for Mixed Spatial Model; 6 CONVERGENCE ALMOST EVERYWHERE; 6.1 Theoretical Background 6.2 Various Bounds on Martingale Transforms6.3 Marcinkiewicz-Zygmund Theorems and Related Results; 6.4 Strong Consistency for Multiple Regression; 6.5 Some Algebra Related to Vector Autoregression; 6.6 Preliminary Analysis; 6.7 Strong Consistency for Vector Autoregression and Related Results; 7 NONLINEAR MODELS; 7.1 Asymptotic Normality of an Abstract Estimator; 7.2 Convergence of Some Deterministic and Stochastic Expressions; 7.3 Nonlinear Least Squares; 7.4 Binary Logit Models with Unbounded Explanatory Variables; 8 TOOLS FOR VECTOR AUTOREGRESSIONS 8.1 L(p)-Approximable Sequences of Matrix-Valued Functions |
| Record Nr. | UNINA-9910139454603321 |
Mynbaev K. T (Kaĭrat Turysbekovich)
|
||
| Hoboken, N.J., : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Short-memory linear processes and econometric applications [[electronic resource] /] / Kairat T. Mynbaev
| Short-memory linear processes and econometric applications [[electronic resource] /] / Kairat T. Mynbaev |
| Autore | Mynbaev K. T (Kaĭrat Turysbekovich) |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2011 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina |
519.7/2
519.72 |
| Soggetto topico |
Linear programming
Econometric models Regression analysis Probabilities |
| ISBN |
1-283-09865-2
9786613098658 1-118-00767-0 1-118-00768-9 1-118-00766-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
SHORT-MEMORY LINEAR PROCESSES AND ECONOMETRIC APPLICATIONS; List of Tables; Preface; Acknowledgments; 1 INTRODUCTION TO OPERATORS, PROBABILITIES AND THE LINEAR MODEL; 1.1 Linear Spaces; 1.2 Normed Spaces; 1.3 Linear Operators; 1.4 Hilbert Spaces; 1.5 L(p) Spaces; 1.6 Conditioning on σ-fields; 1.7 Matrix Algebra; 1.8 Convergence of Random Variables; 1.9 The Linear Model; 1.10 Normalization of Regressors; 1.11 General Framework in the case of K Regressors; 1.12 Introduction to L(2)-Approximability; 2 L(p)-APPROXIMABLE SEQUENCES OF VECTORS
2.1 Discretization, Interpolation and Haar Projector in L(p)2.2 Convergence of Bilinear Forms; 2.3 The Trinity and Its Boundedness in l(p); 2.4 Convergence of the Trinity on L(p)-Generated Sequences; 2.5 Properties of L(p)-Approximable Sequences; 2.6 Criterion of L(p)-Approximability; 2.7 Examples and Counterexamples; 3 CONVERGENCE OF LINEAR AND QUADRATIC FORMS; 3.1 General Information; 3.2 Weak Laws of Large Numbers; 3.3 Central Limit Theorems for Martingale Differences; 3.4 Central Limit Theorems for Weighted Sums of Martingale Differences 3.5 Central Limit Theorems for Weighted Sums of Linear Processes3.6 L(p)-Approximable Sequences of Matrices; 3.7 Integral operators; 3.8 Classes σ(p); 3.9 Convergence of Quadratic Forms of Random Variables; 4 REGRESSIONS WITH SLOWLY VARYING REGRESSORS; 4.1 Slowly Varying Functions; 4.2 Phillips Gallery 1; 4.3 Slowly Varying Functions with Remainder; 4.4 Results Based on L(p)-Approximability; 4.5 Phillips Gallery 2; 4.6 Regression with Two Slowly Varying Regressors; 5 SPATIAL MODELS; 5.1 A Math Introduction to Purely Spatial Models; 5.2 Continuity of Nonlinear Matrix Functions 5.3 Assumption on the Error Term and Implications5.4 Assumption on the Spatial Matrices and Implications; 5.5 Assumption on the Kernel and Implications; 5.6 Linear and Quadratic Forms Involving Segments of K; 5.7 The Roundabout Road; 5.8 Asymptotics of the OLS Estimator for Purely Spatial Model; 5.9 Method of Moments and Maximum Likelihood; 5.10 Two-Step Procedure; 5.11 Examples and Computer Simulation; 5.12 Mixed Spatial Model; 5.13 The Roundabout Road (Mixed Model); 5.14 Asymptotics of the OLS Estimator for Mixed Spatial Model; 6 CONVERGENCE ALMOST EVERYWHERE; 6.1 Theoretical Background 6.2 Various Bounds on Martingale Transforms6.3 Marcinkiewicz-Zygmund Theorems and Related Results; 6.4 Strong Consistency for Multiple Regression; 6.5 Some Algebra Related to Vector Autoregression; 6.6 Preliminary Analysis; 6.7 Strong Consistency for Vector Autoregression and Related Results; 7 NONLINEAR MODELS; 7.1 Asymptotic Normality of an Abstract Estimator; 7.2 Convergence of Some Deterministic and Stochastic Expressions; 7.3 Nonlinear Least Squares; 7.4 Binary Logit Models with Unbounded Explanatory Variables; 8 TOOLS FOR VECTOR AUTOREGRESSIONS 8.1 L(p)-Approximable Sequences of Matrix-Valued Functions |
| Record Nr. | UNINA-9910830201303321 |
|
Mynbaev K. T (Kaĭrat Turysbekovich)
|
||
| Hoboken, N.J., : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Short-memory linear processes and econometric applications [[electronic resource] /] / Kairat T. Mynbaev
| Short-memory linear processes and econometric applications [[electronic resource] /] / Kairat T. Mynbaev |
| Autore | Mynbaev K. T (Kaĭrat Turysbekovich) |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2011 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina |
519.7/2
519.72 |
| Soggetto topico |
Linear programming
Econometric models Regression analysis Probabilities |
| ISBN |
1-283-09865-2
9786613098658 1-118-00767-0 1-118-00768-9 1-118-00766-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
SHORT-MEMORY LINEAR PROCESSES AND ECONOMETRIC APPLICATIONS; List of Tables; Preface; Acknowledgments; 1 INTRODUCTION TO OPERATORS, PROBABILITIES AND THE LINEAR MODEL; 1.1 Linear Spaces; 1.2 Normed Spaces; 1.3 Linear Operators; 1.4 Hilbert Spaces; 1.5 L(p) Spaces; 1.6 Conditioning on σ-fields; 1.7 Matrix Algebra; 1.8 Convergence of Random Variables; 1.9 The Linear Model; 1.10 Normalization of Regressors; 1.11 General Framework in the case of K Regressors; 1.12 Introduction to L(2)-Approximability; 2 L(p)-APPROXIMABLE SEQUENCES OF VECTORS
2.1 Discretization, Interpolation and Haar Projector in L(p)2.2 Convergence of Bilinear Forms; 2.3 The Trinity and Its Boundedness in l(p); 2.4 Convergence of the Trinity on L(p)-Generated Sequences; 2.5 Properties of L(p)-Approximable Sequences; 2.6 Criterion of L(p)-Approximability; 2.7 Examples and Counterexamples; 3 CONVERGENCE OF LINEAR AND QUADRATIC FORMS; 3.1 General Information; 3.2 Weak Laws of Large Numbers; 3.3 Central Limit Theorems for Martingale Differences; 3.4 Central Limit Theorems for Weighted Sums of Martingale Differences 3.5 Central Limit Theorems for Weighted Sums of Linear Processes3.6 L(p)-Approximable Sequences of Matrices; 3.7 Integral operators; 3.8 Classes σ(p); 3.9 Convergence of Quadratic Forms of Random Variables; 4 REGRESSIONS WITH SLOWLY VARYING REGRESSORS; 4.1 Slowly Varying Functions; 4.2 Phillips Gallery 1; 4.3 Slowly Varying Functions with Remainder; 4.4 Results Based on L(p)-Approximability; 4.5 Phillips Gallery 2; 4.6 Regression with Two Slowly Varying Regressors; 5 SPATIAL MODELS; 5.1 A Math Introduction to Purely Spatial Models; 5.2 Continuity of Nonlinear Matrix Functions 5.3 Assumption on the Error Term and Implications5.4 Assumption on the Spatial Matrices and Implications; 5.5 Assumption on the Kernel and Implications; 5.6 Linear and Quadratic Forms Involving Segments of K; 5.7 The Roundabout Road; 5.8 Asymptotics of the OLS Estimator for Purely Spatial Model; 5.9 Method of Moments and Maximum Likelihood; 5.10 Two-Step Procedure; 5.11 Examples and Computer Simulation; 5.12 Mixed Spatial Model; 5.13 The Roundabout Road (Mixed Model); 5.14 Asymptotics of the OLS Estimator for Mixed Spatial Model; 6 CONVERGENCE ALMOST EVERYWHERE; 6.1 Theoretical Background 6.2 Various Bounds on Martingale Transforms6.3 Marcinkiewicz-Zygmund Theorems and Related Results; 6.4 Strong Consistency for Multiple Regression; 6.5 Some Algebra Related to Vector Autoregression; 6.6 Preliminary Analysis; 6.7 Strong Consistency for Vector Autoregression and Related Results; 7 NONLINEAR MODELS; 7.1 Asymptotic Normality of an Abstract Estimator; 7.2 Convergence of Some Deterministic and Stochastic Expressions; 7.3 Nonlinear Least Squares; 7.4 Binary Logit Models with Unbounded Explanatory Variables; 8 TOOLS FOR VECTOR AUTOREGRESSIONS 8.1 L(p)-Approximable Sequences of Matrix-Valued Functions |
| Record Nr. | UNINA-9910841790103321 |
|
Mynbaev K. T (Kaĭrat Turysbekovich)
|
||
| Hoboken, N.J., : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||