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Biblioteca

MARC Lista (tabellare)
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 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-9910877715703321
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 ; ; New York, : Cambridge, 2004
Descrizione fisica 1 online resource (xiv, 217 pages) : digital, PDF file(s)
Disciplina 621.382/2
Altri autori (Persone) IskanderD. Robert
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-9910818335603321
Zoubir Abdelhak M  
Cambridge ; ; New York, : Cambridge, 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 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-9910876617403321
Zieffler Andrew <1974->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui