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Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
| Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
| Autore | Pearl Judea |
| Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (181 p.) |
| Disciplina | 519.5/4 |
| Soggetto topico |
Mathematical statistics
Causation Probabilities |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-18686-2
1-119-18685-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminaries : statistical and causal models -- Graphical models and their applications -- The effects of interventions -- Counterfactuals and their applications. |
| Record Nr. | UNINA-9910466121403321 |
Pearl Judea
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||
| West Sussex, England : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
| Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
| Autore | Pearl Judea |
| Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (181 pages) : illustrations, tables |
| Disciplina | 519.5/4 |
| Soggetto topico |
Causation
Mathematical statistics Probabilities |
| ISBN |
1-119-18686-2
1-119-18685-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910795961503321 |
|
Pearl Judea
|
||
| West Sussex, England : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
| Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
| Autore | Pearl Judea |
| Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (181 pages) : illustrations, tables |
| Disciplina | 519.5/4 |
| Soggetto topico |
Causation
Mathematical statistics Probabilities |
| ISBN |
1-119-18686-2
1-119-18685-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910814675503321 |
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Pearl Judea
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| West Sussex, England : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A Chronicle of Permutation Statistical Methods : 1920–2000, and Beyond / / by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Chronicle of Permutation Statistical Methods : 1920–2000, and Beyond / / by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry Kenneth J |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (535 p.) |
| Disciplina |
510.9
519.5 519.5/4 519.54 |
| Soggetto topico |
Statistics
Mathematics History Statistics, general History of Mathematical Sciences |
| ISBN | 3-319-02744-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1.Introduction -- 2.1920–1939 -- 3.1940–1959 -- 4.1960–1979 -- 5.1980–2000 -- 6.Beyond 2000 -- Epilogue -- References -- Acronyms -- Name Index -- Subject Index. |
| Record Nr. | UNINA-9910299963803321 |
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Berry Kenneth J
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
| Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long |
| Autore | Zieffler Andrew <1974-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
519.5/4
519.54 |
| Altri autori (Persone) |
HarringJeffrey <1964->
LongJeffrey D. <1964-> |
| Soggetto topico |
Bootstrap (Statistics)
Random data (Statistics) Psychology - Data processing R (Computer program language) Distribution (Probability theory) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-20383-9
9786613203830 1-118-06367-8 1-118-06368-6 1-118-06366-X |
| Classificazione | SOC027000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Comparing Groups: Randomization and Bootstrap Methods Using R; CONTENTS; List of Figures; List of Tables; Foreword; Preface; Acknowledgments; 1 An Introduction to R; 1.1 Getting Started; 1.1.1 Windows OS; 1.1.2 Mac OS; 1.1.3 Add-On Packages; 1.2 Arithmetic: R as a Calculator; 1.3 Computations in R: Functions; 1.4 Connecting Computations; 1.4.1 Naming Conventions; 1.5 Data Structures: Vectors; 1.5.1 Creating Vectors in R; 1.5.2 Computation with Vectors; 1.5.3 Character and Logical Vectors; 1.6 Getting Help; 1.7 Alternative Ways to Run R; 1.8 Extension: Matrices and Matrix Operations
1.8.1 Computation with Matrices1.9 Further Reading; Problems; 2 Data Representation and Preparation; 2.1 Tabular Data; 2.1.1 External Formats for Storing Tabular Data; 2.2 Data Entry; 2.2.1 Data Codebooks; 2.3 Reading Delimited Data into R; 2.3.1 Identifying the Location of a File; 2.3.2 Examining the Data in a Text Editor; 2.3.3 Reading Delimited Separated Data: An Example; 2.4 Data Structure: Data Frames; 2.4.1 Examining the Data Read into R; 2.5 Recording Syntax using Script Files; 2.5.1 Documentation File; 2.6 Simple Graphing in R 2.6.1 Saving Graphics to Insert into a Word-Processing File2.7 Extension: Logical Expressions and Graphs for Categorical Variables; 2.7.1 Logical Operators; 2.7.2 Measurement Level and Analysis; 2.7.3 Categorical Data; 2.7.4 Plotting Categorical Data; 2.8 Further Reading; Problems; 3 Data Exploration: One Variable; 3.1 Reading In the Data; 3.2 Nonparametric Density Estimation; 3.2.1 Graphically Summarizing the Distribution; 3.2.2 Histograms; 3.2.3 Kernel Density Estimators; 3.2.4 Controlling the Density Estimation; 3.2.5 Plotting the Estimated Density; 3.3 Summarizing the Findings 3.3.1 Creating a Plot for Publication3.3.2 Writing Up the Results for Publication; 3.4 Extension: Variability Bands for Kernel Densities; 3.5 Further Reading; Problems; 4 Exploration of Multivariate Data: Comparing Two Groups; 4.1 Graphically Summarizing the Marginal Distribution; 4.2 Graphically Summarizing Conditional Distributions; 4.2.1 Indexing: Accessing Individuals or Subsets; 4.2.2 Indexing Using a Logical Expression; 4.2.3 Density Plots of the Conditional Distributions; 4.2.4 Side-by-Side Box-and-Whiskers Plots; 4.3 Numerical Summaries of Data: Estimates of the Population Parameters 4.3.1 Measuring Central Tendency4.3.2 Measuring Variation; 4.3.3 Measuring Skewness; 4.3.4 Kurtosis; 4.4 Summarizing the Findings; 4.4.1 Creating a Plot for Publication; 4.4.2 Using Color; 4.4.3 Selecting a Color Palette; 4.5 Extension: Robust Estimation; 4.5.1 Robust Estimate of Location: The Trimmed Mean; 4.5.2 Robust Estimate of Variation: The Winsorized Variance; 4.6 Further Reading; Problems; 5 Exploration of Multivariate Data: Comparing Many Groups; 5.1 Graphing Many Conditional Distributions; 5.1.1 Panel Plots; 5.1.2 Side-by-Side Box-and-Whiskers Plots 5.2 Numerically Summarizing the Data |
| Record Nr. | UNINA-9910139630803321 |
|
Zieffler Andrew <1974->
|
||
| Hoboken, N.J., : Wiley, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
| Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long |
| Autore | Zieffler Andrew <1974-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
519.5/4
519.54 |
| Altri autori (Persone) |
HarringJeffrey <1964->
LongJeffrey D. <1964-> |
| Soggetto topico |
Bootstrap (Statistics)
Random data (Statistics) Psychology - Data processing R (Computer program language) Distribution (Probability theory) |
| ISBN |
1-283-20383-9
9786613203830 1-118-06367-8 1-118-06368-6 1-118-06366-X |
| Classificazione | SOC027000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Comparing Groups: Randomization and Bootstrap Methods Using R; CONTENTS; List of Figures; List of Tables; Foreword; Preface; Acknowledgments; 1 An Introduction to R; 1.1 Getting Started; 1.1.1 Windows OS; 1.1.2 Mac OS; 1.1.3 Add-On Packages; 1.2 Arithmetic: R as a Calculator; 1.3 Computations in R: Functions; 1.4 Connecting Computations; 1.4.1 Naming Conventions; 1.5 Data Structures: Vectors; 1.5.1 Creating Vectors in R; 1.5.2 Computation with Vectors; 1.5.3 Character and Logical Vectors; 1.6 Getting Help; 1.7 Alternative Ways to Run R; 1.8 Extension: Matrices and Matrix Operations
1.8.1 Computation with Matrices1.9 Further Reading; Problems; 2 Data Representation and Preparation; 2.1 Tabular Data; 2.1.1 External Formats for Storing Tabular Data; 2.2 Data Entry; 2.2.1 Data Codebooks; 2.3 Reading Delimited Data into R; 2.3.1 Identifying the Location of a File; 2.3.2 Examining the Data in a Text Editor; 2.3.3 Reading Delimited Separated Data: An Example; 2.4 Data Structure: Data Frames; 2.4.1 Examining the Data Read into R; 2.5 Recording Syntax using Script Files; 2.5.1 Documentation File; 2.6 Simple Graphing in R 2.6.1 Saving Graphics to Insert into a Word-Processing File2.7 Extension: Logical Expressions and Graphs for Categorical Variables; 2.7.1 Logical Operators; 2.7.2 Measurement Level and Analysis; 2.7.3 Categorical Data; 2.7.4 Plotting Categorical Data; 2.8 Further Reading; Problems; 3 Data Exploration: One Variable; 3.1 Reading In the Data; 3.2 Nonparametric Density Estimation; 3.2.1 Graphically Summarizing the Distribution; 3.2.2 Histograms; 3.2.3 Kernel Density Estimators; 3.2.4 Controlling the Density Estimation; 3.2.5 Plotting the Estimated Density; 3.3 Summarizing the Findings 3.3.1 Creating a Plot for Publication3.3.2 Writing Up the Results for Publication; 3.4 Extension: Variability Bands for Kernel Densities; 3.5 Further Reading; Problems; 4 Exploration of Multivariate Data: Comparing Two Groups; 4.1 Graphically Summarizing the Marginal Distribution; 4.2 Graphically Summarizing Conditional Distributions; 4.2.1 Indexing: Accessing Individuals or Subsets; 4.2.2 Indexing Using a Logical Expression; 4.2.3 Density Plots of the Conditional Distributions; 4.2.4 Side-by-Side Box-and-Whiskers Plots; 4.3 Numerical Summaries of Data: Estimates of the Population Parameters 4.3.1 Measuring Central Tendency4.3.2 Measuring Variation; 4.3.3 Measuring Skewness; 4.3.4 Kurtosis; 4.4 Summarizing the Findings; 4.4.1 Creating a Plot for Publication; 4.4.2 Using Color; 4.4.3 Selecting a Color Palette; 4.5 Extension: Robust Estimation; 4.5.1 Robust Estimate of Location: The Trimmed Mean; 4.5.2 Robust Estimate of Variation: The Winsorized Variance; 4.6 Further Reading; Problems; 5 Exploration of Multivariate Data: Comparing Many Groups; 5.1 Graphing Many Conditional Distributions; 5.1.1 Panel Plots; 5.1.2 Side-by-Side Box-and-Whiskers Plots 5.2 Numerically Summarizing the Data |
| Record Nr. | UNINA-9910830144103321 |
|
Zieffler Andrew <1974->
|
||
| Hoboken, N.J., : Wiley, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas
| Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas |
| Autore | Pouly Marc <1980-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (486 p.) |
| Disciplina |
006.3015181
519.5/4 |
| Altri autori (Persone) | KohlasJürg <1939-> |
| Soggetto topico |
Valuation theory
Algorithms Algebra, Abstract |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-12633-8
9786613126337 1-118-01086-8 1-118-01087-6 1-118-01084-1 |
| Classificazione | TEC008000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Logical computation -- pt. 2. Generic constructions -- pt. 3. Applications. |
| Record Nr. | UNINA-9910140976103321 |
|
Pouly Marc <1980->
|
||
| Hoboken, New Jersey, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas
| Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas |
| Autore | Pouly Marc <1980-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey, : Wiley, 2011 |
| Descrizione fisica | 1 online resource (486 p.) |
| Disciplina |
006.3015181
519.5/4 |
| Altri autori (Persone) | KohlasJürg <1939-> |
| Soggetto topico |
Valuation theory
Algorithms Algebra, Abstract |
| ISBN |
1-283-12633-8
9786613126337 1-118-01086-8 1-118-01087-6 1-118-01084-1 |
| Classificazione | TEC008000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Logical computation -- pt. 2. Generic constructions -- pt. 3. Applications. |
| Record Nr. | UNINA-9910830767103321 |
|
Pouly Marc <1980->
|
||
| Hoboken, New Jersey, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to bootstrap methods with applications to R / / Michael R. Chernick, Robert A. LaBudde
| An introduction to bootstrap methods with applications to R / / Michael R. Chernick, Robert A. LaBudde |
| Autore | Chernick Michael R. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2011 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 519.5/4 |
| Soggetto topico |
Bootstrap (Statistics)
R (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-62541-2
1-118-62545-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover ; Title Page ; Copyright ; Contents ; Preface ; Acknowledgments ; List of Tables ; 1: INTRODUCTION ; 1.1 Historical Background ; 1.2 Definition and Relationship to the Delta Method and Other Resampling Methods ; 1.2.1 Jackknife ; 1.2.2 Delta Method ; 1.2.3 Cross Validation ; 1.2.4 Subsampling ; 1.3 Wide Range of Applications ; 1.4 The Bootstrap and the R Language System ; 1.5 Historical Notes ; 1.6 Exercises ; References ; 2: ESTIMATION; 2.1 Estimating Bias ; 2.1.1 Bootstrap Adjustment ; 2.1.2 Error Rate Estimation in Discriminant Analysis
2.1.3 Simple Example of Linear Discrimination and Bootstrap Error Rate Estimation 2.1.4 Patch Data Example ; 2.2 Estimating Location ; 2.2.1 Estimating a Mean ; 2.2.2 Estimating a Median ; 2.3 Estimating Dispersion ; 2.3.1 Estimating an Estimate's Standard Error ; 2.3.2 Estimating Interquartile Range ; 2.4 Linear Regression ; 2.4.1 Overview ; 2.4.2 Bootstrapping Residuals ; 2.4.3 Bootstrapping Pairs (response and Predictor Vector) ; 2.4.4 Heteroscedasticity of Variance: the Wild Bootstrap ; 2.4.5 a Special Class of Linear Regression Models: Multivariable Fractional Polynomials 2.5 Nonlinear Regression 2.5.1 Examples of Nonlinear Models ; 2.5.2 a Quasi Optical Experiment ; 2.6 Nonparametric Regression ; 2.6.1 Examples of Nonparametric Regression Models ; 2.6.2 Bootstrap Bagging ; 2.7 Historical Notes ; 2.8 Exercises ; References ; 3: CONFIDENCE INTERVALS ; 3.1 Subsampling, Typical Value Theorem, and Efron's Percentile Method ; 3.2 Bootstrap-t ; 3.3 Iterated Bootstrap ; 3.4 Bias Corrected (BC) Bootstrap ; 3.5 Bca and Abc ; 3.6 Tilted Bootstrap ; 3.7 Variance Estimation with Small Sample Sizes ; 3.8 Historical Notes ; 3.9 Exercises ; References ; 4: HYPOTHESIS TESTING 4.1 Relationship to Confidence Intervals 4.2 Why Test Hypotheses Differently? ; 4.3 Tendril Dx Example ; 4.4 Klingenberg Example: Binary Dose-response ; 4.5 Historical Notes ; 4.6 Exercises ; References ; 5: TIME SERIES; 5.1 Forecasting Methods ; 5.2 Time Domain Models ; 5.3 Can Bootstrapping Improve Prediction Intervals? ; 5.4 Model Based Methods ; 5.4.1 Bootstrapping Stationary Autoregressive Processes ; 5.4.2 Bootstrapping Explosive Autoregressive Processes ; 5.4.3 Bootstrapping Unstable Autoregressive Processes ; 5.4.4 Bootstrapping Stationary Arma Processes 5.5 Block Bootstrapping for Stationary Time Series 5.6 Dependent Wild Bootstrap (DWB) ; 5.7 Frequency-based Approaches for Stationary Time Series ; 5.8 Sieve Bootstrap ; 5.9 Historical Notes ; 5.10 Exercises ; References ; 6: BOOTSTRAP VARIANTS; 6.1 Bayesian Bootstrap ; 6.2 Smoothed Bootstrap ; 6.3 Parametric Bootstrap ; 6.4 Double Bootstrap ; 6.5 the M-out-of-n Bootstrap ; 6.6 the Wild Bootstrap ; 6.7 Historical Notes ; 6.8 Exercise ; References ; 7: CHAPTER SPECIAL TOPICS; 7.1 Spatial Data ; 7.1.1 Kriging ; 7.1.2 Asymptotics for Spatial Data ; 7.1.3 Block Bootstrap on Regular Grids 7.1.4 Block Bootstrap on Irregular Grids |
| Record Nr. | UNINA-9910464196903321 |
|
Chernick Michael R.
|
||
| Hoboken, New Jersey : , : Wiley, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introduction to bootstrap methods with applications to R / / Michael R. Chernick, Robert A. LaBudde
| An introduction to bootstrap methods with applications to R / / Michael R. Chernick, Robert A. LaBudde |
| Autore | Chernick Michael R. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2011 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 519.5/4 |
| Collana | New York Academy of Sciences |
| Soggetto topico |
Bootstrap (Statistics)
R (Computer program language) |
| ISBN |
1-118-62541-2
1-118-62545-5 |
| Classificazione | MAT029000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover ; Title Page ; Copyright ; Contents ; Preface ; Acknowledgments ; List of Tables ; 1: INTRODUCTION ; 1.1 Historical Background ; 1.2 Definition and Relationship to the Delta Method and Other Resampling Methods ; 1.2.1 Jackknife ; 1.2.2 Delta Method ; 1.2.3 Cross Validation ; 1.2.4 Subsampling ; 1.3 Wide Range of Applications ; 1.4 The Bootstrap and the R Language System ; 1.5 Historical Notes ; 1.6 Exercises ; References ; 2: ESTIMATION; 2.1 Estimating Bias ; 2.1.1 Bootstrap Adjustment ; 2.1.2 Error Rate Estimation in Discriminant Analysis
2.1.3 Simple Example of Linear Discrimination and Bootstrap Error Rate Estimation 2.1.4 Patch Data Example ; 2.2 Estimating Location ; 2.2.1 Estimating a Mean ; 2.2.2 Estimating a Median ; 2.3 Estimating Dispersion ; 2.3.1 Estimating an Estimate's Standard Error ; 2.3.2 Estimating Interquartile Range ; 2.4 Linear Regression ; 2.4.1 Overview ; 2.4.2 Bootstrapping Residuals ; 2.4.3 Bootstrapping Pairs (response and Predictor Vector) ; 2.4.4 Heteroscedasticity of Variance: the Wild Bootstrap ; 2.4.5 a Special Class of Linear Regression Models: Multivariable Fractional Polynomials 2.5 Nonlinear Regression 2.5.1 Examples of Nonlinear Models ; 2.5.2 a Quasi Optical Experiment ; 2.6 Nonparametric Regression ; 2.6.1 Examples of Nonparametric Regression Models ; 2.6.2 Bootstrap Bagging ; 2.7 Historical Notes ; 2.8 Exercises ; References ; 3: CONFIDENCE INTERVALS ; 3.1 Subsampling, Typical Value Theorem, and Efron's Percentile Method ; 3.2 Bootstrap-t ; 3.3 Iterated Bootstrap ; 3.4 Bias Corrected (BC) Bootstrap ; 3.5 Bca and Abc ; 3.6 Tilted Bootstrap ; 3.7 Variance Estimation with Small Sample Sizes ; 3.8 Historical Notes ; 3.9 Exercises ; References ; 4: HYPOTHESIS TESTING 4.1 Relationship to Confidence Intervals 4.2 Why Test Hypotheses Differently? ; 4.3 Tendril Dx Example ; 4.4 Klingenberg Example: Binary Dose-response ; 4.5 Historical Notes ; 4.6 Exercises ; References ; 5: TIME SERIES; 5.1 Forecasting Methods ; 5.2 Time Domain Models ; 5.3 Can Bootstrapping Improve Prediction Intervals? ; 5.4 Model Based Methods ; 5.4.1 Bootstrapping Stationary Autoregressive Processes ; 5.4.2 Bootstrapping Explosive Autoregressive Processes ; 5.4.3 Bootstrapping Unstable Autoregressive Processes ; 5.4.4 Bootstrapping Stationary Arma Processes 5.5 Block Bootstrapping for Stationary Time Series 5.6 Dependent Wild Bootstrap (DWB) ; 5.7 Frequency-based Approaches for Stationary Time Series ; 5.8 Sieve Bootstrap ; 5.9 Historical Notes ; 5.10 Exercises ; References ; 6: BOOTSTRAP VARIANTS; 6.1 Bayesian Bootstrap ; 6.2 Smoothed Bootstrap ; 6.3 Parametric Bootstrap ; 6.4 Double Bootstrap ; 6.5 the M-out-of-n Bootstrap ; 6.6 the Wild Bootstrap ; 6.7 Historical Notes ; 6.8 Exercise ; References ; 7: CHAPTER SPECIAL TOPICS; 7.1 Spatial Data ; 7.1.1 Kriging ; 7.1.2 Asymptotics for Spatial Data ; 7.1.3 Block Bootstrap on Regular Grids 7.1.4 Block Bootstrap on Irregular Grids |
| Record Nr. | UNINA-9910789481603321 |
|
Chernick Michael R.
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||
| Hoboken, New Jersey : , : Wiley, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
