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The bootstrap and finite population sampling / / by Philip J. McCarthy and Cecelia B. Snowden
The bootstrap and finite population sampling / / by Philip J. McCarthy and Cecelia B. Snowden
Autore McCarthy Philip J.
Pubbl/distr/stampa Hyattsville, Md. : , : U.S. Department of Health and Human Services, Public Health Service, National Center for Health Statistics, , 1985
Descrizione fisica 1 online resource (v, 23 pages) : illustrations
Collana Vital & Health Statistics. Series 2, Data evaluation and methods research
DHHS publication
Soggetto topico Health surveys - Statistical methods
Estimation theory
Sampling (Statistics)
Nonparametric statistics
Bootstrap (Statistics)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910713397103321
McCarthy Philip J.  
Hyattsville, Md. : , : U.S. Department of Health and Human Services, Public Health Service, National Center for Health Statistics, , 1985
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bootstrap methods [[electronic resource] ] : a guide for practitioners and researchers / / Michael R. Chernick
Bootstrap methods [[electronic resource] ] : a guide for practitioners and researchers / / Michael R. Chernick
Autore Chernick Michael R
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, c2008
Descrizione fisica 1 online resource (399 p.)
Disciplina 519.54
Collana Wiley series in probability and statistics
Soggetto topico Bootstrap (Statistics)
Sampling (Statistics)
ISBN 1-118-21159-6
1-281-09437-4
9786611094379
0-470-19257-7
0-470-19256-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bootstrap Methods; Contents; Preface to Second Edition; Preface to First Edition; Acknowledgments; 1. What Is Bootstrapping?; 2. Estimation; 3. Confidence Sets and Hypothesis Testing; 4. Regression Analysis; 5. Forecasting and Time Series Analysis; 6. Which Resampling Method Should You Use?; 7. Efficient and Effective Simulation; 8. Special Topics; 9. When Bootstrapping Fails Along with Remedies for Failures; Bibliography 1 (Prior to 1999); Bibliography 2 (1999-2007); Author Index; Subject Index
Record Nr. UNINA-9910144720003321
Chernick Michael R  
Hoboken, NJ, : Wiley-Interscience, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bootstrap methods [[electronic resource] ] : a guide for practitioners and researchers / / Michael R. Chernick
Bootstrap methods [[electronic resource] ] : a guide for practitioners and researchers / / Michael R. Chernick
Autore Chernick Michael R
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, c2008
Descrizione fisica 1 online resource (399 p.)
Disciplina 519.54
Collana Wiley series in probability and statistics
Soggetto topico Bootstrap (Statistics)
Sampling (Statistics)
ISBN 1-118-21159-6
1-281-09437-4
9786611094379
0-470-19257-7
0-470-19256-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bootstrap Methods; Contents; Preface to Second Edition; Preface to First Edition; Acknowledgments; 1. What Is Bootstrapping?; 2. Estimation; 3. Confidence Sets and Hypothesis Testing; 4. Regression Analysis; 5. Forecasting and Time Series Analysis; 6. Which Resampling Method Should You Use?; 7. Efficient and Effective Simulation; 8. Special Topics; 9. When Bootstrapping Fails Along with Remedies for Failures; Bibliography 1 (Prior to 1999); Bibliography 2 (1999-2007); Author Index; Subject Index
Record Nr. UNINA-9910831069803321
Chernick Michael R  
Hoboken, NJ, : Wiley-Interscience, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bootstrap methods : a guide for practitioners and researchers / / Michael R. Chernick
Bootstrap methods : a guide for practitioners and researchers / / Michael R. Chernick
Autore Chernick Michael R
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley-Interscience, c2008
Descrizione fisica 1 online resource (399 p.)
Disciplina 519.54
Collana Wiley series in probability and statistics
Soggetto topico Bootstrap (Statistics)
Sampling (Statistics)
ISBN 9786611094379
9781118211595
1118211596
9781281094377
1281094374
9780470192573
0470192577
9780470192566
0470192569
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Bootstrap Methods; Contents; Preface to Second Edition; Preface to First Edition; Acknowledgments; 1. What Is Bootstrapping?; 2. Estimation; 3. Confidence Sets and Hypothesis Testing; 4. Regression Analysis; 5. Forecasting and Time Series Analysis; 6. Which Resampling Method Should You Use?; 7. Efficient and Effective Simulation; 8. Special Topics; 9. When Bootstrapping Fails Along with Remedies for Failures; Bibliography 1 (Prior to 1999); Bibliography 2 (1999-2007); Author Index; Subject Index
Record Nr. UNINA-9911020334803321
Chernick Michael R  
Hoboken, NJ, : Wiley-Interscience, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander [[electronic resource]]
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander [[electronic resource]]
Autore Zoubir Abdelhak M.
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2004
Descrizione fisica 1 online resource (xiv, 217 pages) : digital, PDF file(s)
Disciplina 621.382/2
Soggetto topico Signal processing - Mathematics
Image processing - Mathematics
Bootstrap (Statistics)
ISBN 1-107-14842-1
1-280-47787-3
9786610477876
0-511-19529-X
0-511-19595-8
0-511-19389-0
0-511-33144-4
0-511-53671-2
0-511-19463-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
Record Nr. UNINA-9910458158503321
Zoubir Abdelhak M.  
Cambridge : , : Cambridge University Press, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander [[electronic resource]]
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander [[electronic resource]]
Autore Zoubir Abdelhak M.
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2004
Descrizione fisica 1 online resource (xiv, 217 pages) : digital, PDF file(s)
Disciplina 621.382/2
Soggetto topico Signal processing - Mathematics
Image processing - Mathematics
Bootstrap (Statistics)
ISBN 1-107-14842-1
1-280-47787-3
9786610477876
0-511-19529-X
0-511-19595-8
0-511-19389-0
0-511-33144-4
0-511-53671-2
0-511-19463-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
Record Nr. UNINA-9910784315803321
Zoubir Abdelhak M.  
Cambridge : , : Cambridge University Press, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander
Autore Zoubir Abdelhak M.
Edizione [1st ed.]
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2004
Descrizione fisica 1 online resource (xiv, 217 pages) : digital, PDF file(s)
Disciplina 621.382/2
Soggetto topico Signal processing - Mathematics
Image processing - Mathematics
Bootstrap (Statistics)
ISBN 1-107-14842-1
1-280-47787-3
9786610477876
0-511-19529-X
0-511-19595-8
0-511-19389-0
0-511-33144-4
0-511-53671-2
0-511-19463-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
Record Nr. UNINA-9910966125803321
Zoubir Abdelhak M.  
Cambridge : , : Cambridge University Press, , 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Comparing groups : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Comparing groups : 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
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 9786613203830
9781283203838
1283203839
9781118063675
1118063678
9781118063682
1118063686
9781118063668
111806366X
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-9911019130503321
Zieffler Andrew <1974->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui