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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
The essentials of biostatistics for physicians, nurses, and clinicians [[electronic resource] /] / Michael R. Chernick
The essentials of biostatistics for physicians, nurses, and clinicians [[electronic resource] /] / Michael R. Chernick
Autore Chernick Michael R
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, c2011
Descrizione fisica 1 online resource (226 p.)
Disciplina 570.1/5195
Soggetto topico Biometry
ISBN 1-283-23982-5
9786613239822
1-118-07194-8
1-118-07195-6
1-118-07193-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The what, why, and how of biostatistics in medical research -- Sampling from populations -- Graphics and summary statistics -- Normal distribution and related properties -- Estimating means and proportions -- Hypothesis testing -- Correlation, regression, and logistic regression -- Contingency tables -- Nonparametric methods -- Survival analysis.
Record Nr. UNINA-9910139609603321
Chernick Michael R  
Hoboken, N.J., : John Wiley & Sons, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The essentials of biostatistics for physicians, nurses, and clinicians / / Michael R. Chernick
The essentials of biostatistics for physicians, nurses, and clinicians / / Michael R. Chernick
Autore Chernick Michael R
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, c2011
Descrizione fisica 1 online resource (226 p.)
Disciplina 570.1/5195
Soggetto topico Biometry
ISBN 1-283-23982-5
9786613239822
1-118-07194-8
1-118-07195-6
1-118-07193-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The what, why, and how of biostatistics in medical research -- Sampling from populations -- Graphics and summary statistics -- Normal distribution and related properties -- Estimating means and proportions -- Hypothesis testing -- Correlation, regression, and logistic regression -- Contingency tables -- Nonparametric methods -- Survival analysis.
Record Nr. UNINA-9910827099503321
Chernick Michael R  
Hoboken, N.J., : John Wiley & Sons, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introductory biostatistics for the health sciences [[electronic resource] ] : modern applications including bootstrap / / Michael R. Chernick and Robert H. Friis
Introductory biostatistics for the health sciences [[electronic resource] ] : modern applications including bootstrap / / Michael R. Chernick and Robert H. Friis
Autore Chernick Michael R
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2003
Descrizione fisica 1 online resource (426 p.)
Disciplina 519.502461
610.72
Altri autori (Persone) FriisRobert H
Collana Wiley series in probability and statistics
Soggetto topico Medical statistics
Biometry
Soggetto genere / forma Electronic books.
ISBN 1-280-36626-5
9786610366262
0-470-31811-2
0-471-45865-1
0-471-45871-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introductory Biostatistics for the Health Sciences; Contents; Preface; 1. What is Statistics? How is it Applied in the Health Sciences?; 1.1 Definitions of Statistics and Statisticians; 1.2 Why Study Statistics?; 1.3 Types of Studies; 1.3.1 Surveys and Cross-Sectional Studies; 1.3.2 Retrospective Studies; 1.3.3 Prospective Studies; 1.3.4 Experimental Studies and Quality Control; 1.3.5 Clinical Trials; 1.3.6 Epidemiological Studies; 1.3.7 Pharmacoeconomic Studies and Quality of Life; 1.4 Exercises; 1.5 Additional Reading; 2. Defining Populations and Selecting Samples
2.1 What are Populations and Samples?2.2 Why Select a Sample?; 2.3 How Samples Can be Selected; 2.3.1 Simple Random Sampling; 2.3.2 Convenience Sampling; 2.3.3 Systematic Sampling; 2.3.4 Stratified Random Sampling; 2.3.5 Cluster Sampling; 2.3.6 Bootstrap Sampling; 2.4 How to Select a Simple Random Sample; 2.5 How to Select a Bootstrap Sample; 2.6 Why Does Random Sampling Work?; 2.7 Exercises; 2.8 Additional Reading; 3. Systematic Organization and Display of Data; 3.1 Types of Data; 3.1.1 Qualitative; 3.1.2 Quantitative; 3.2 Frequency Tables and Histograms; 3.3 Graphical Methods
3.3.1 Frequency Histograms3.3.2 Frequency Polygons; 3.3.3 Cumulative Frequency Polygon; 3.3.4 Stem-and-Leaf Diagrams; 3.3.5 Box-and-Whisker Plots; 3.3.6 Bar Charts and Pie Charts; 3.4 Exercises; 3.5 Additional Reading; 4. Summary Statistics; 4.1 Measures of Central Tendency; 4.1.1 The Arithmetic Mean; 4.1.2 The Median; 4.1.3 The Mode; 4.1.4 The Geometric Mean; 4.1.5 The Harmonic Mean; 4.1.6 Which Measure Should You Use?; 4.2 Measures of Dispersion; 4.2.1 Range; 4.2.2 Mean Absolute Deviation; 4.2.3 Population Variance and Standard Deviation; 4.2.4 Sample Variance and Standard Deviation
4.2.5 Calculating the Variance and Standard Deviation from Group Data4.3 Coefficient of Variation (CV) and Coefficient of Dispersion (CD); 4.4 Exercises; 4.5 Additional Reading; 5. Basic Probability; 5.1 What is Probability?; 5.2 Elementary Sets as Events and Their Complements; 5.3 Independent and Disjoint Events; 5.4 Probability Rules; 5.5 Permutations and Combinations; 5.6 Probability Distributions; 5.7 The Binomial Distribution; 5.8 The Monty Hall Problem; 5.9 A Quality Assurance Problem; 5.10 Exercises; 5.11 Additional Reading; 6. The Normal Distribution
6.1 The Importance of the Normal Distribution in Statistics6.2 Properties of Normal Distributions; 6.3 Tabulating Areas under the Standard Normal Distribution; 6.4 Exercises; 6.5 Additional Reading; 7. Sampling Distributions for Means; 7.1 Population Distributions and the Distribution of Sample Averages from the Population; 7.2 The Central Limit Theorem; 7.3 Standard Error of the Mean; 7.4 Z Distribution Obtained When Standard Deviation Is Known; 7.5 Student's t Distribution Obtained When Standard Deviation Is Unknown; 7.6 Assumptions Required for t Distribution; 7.7 Exercises
7.8 Additional Reading
Record Nr. UNINA-9910146071503321
Chernick Michael R  
Hoboken, N.J., : Wiley-Interscience, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introductory biostatistics for the health sciences [[electronic resource] ] : modern applications including bootstrap / / Michael R. Chernick and Robert H. Friis
Introductory biostatistics for the health sciences [[electronic resource] ] : modern applications including bootstrap / / Michael R. Chernick and Robert H. Friis
Autore Chernick Michael R
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2003
Descrizione fisica 1 online resource (426 p.)
Disciplina 519.502461
610.72
Altri autori (Persone) FriisRobert H
Collana Wiley series in probability and statistics
Soggetto topico Medical statistics
Biometry
ISBN 1-280-36626-5
9786610366262
0-470-31811-2
0-471-45865-1
0-471-45871-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introductory Biostatistics for the Health Sciences; Contents; Preface; 1. What is Statistics? How is it Applied in the Health Sciences?; 1.1 Definitions of Statistics and Statisticians; 1.2 Why Study Statistics?; 1.3 Types of Studies; 1.3.1 Surveys and Cross-Sectional Studies; 1.3.2 Retrospective Studies; 1.3.3 Prospective Studies; 1.3.4 Experimental Studies and Quality Control; 1.3.5 Clinical Trials; 1.3.6 Epidemiological Studies; 1.3.7 Pharmacoeconomic Studies and Quality of Life; 1.4 Exercises; 1.5 Additional Reading; 2. Defining Populations and Selecting Samples
2.1 What are Populations and Samples?2.2 Why Select a Sample?; 2.3 How Samples Can be Selected; 2.3.1 Simple Random Sampling; 2.3.2 Convenience Sampling; 2.3.3 Systematic Sampling; 2.3.4 Stratified Random Sampling; 2.3.5 Cluster Sampling; 2.3.6 Bootstrap Sampling; 2.4 How to Select a Simple Random Sample; 2.5 How to Select a Bootstrap Sample; 2.6 Why Does Random Sampling Work?; 2.7 Exercises; 2.8 Additional Reading; 3. Systematic Organization and Display of Data; 3.1 Types of Data; 3.1.1 Qualitative; 3.1.2 Quantitative; 3.2 Frequency Tables and Histograms; 3.3 Graphical Methods
3.3.1 Frequency Histograms3.3.2 Frequency Polygons; 3.3.3 Cumulative Frequency Polygon; 3.3.4 Stem-and-Leaf Diagrams; 3.3.5 Box-and-Whisker Plots; 3.3.6 Bar Charts and Pie Charts; 3.4 Exercises; 3.5 Additional Reading; 4. Summary Statistics; 4.1 Measures of Central Tendency; 4.1.1 The Arithmetic Mean; 4.1.2 The Median; 4.1.3 The Mode; 4.1.4 The Geometric Mean; 4.1.5 The Harmonic Mean; 4.1.6 Which Measure Should You Use?; 4.2 Measures of Dispersion; 4.2.1 Range; 4.2.2 Mean Absolute Deviation; 4.2.3 Population Variance and Standard Deviation; 4.2.4 Sample Variance and Standard Deviation
4.2.5 Calculating the Variance and Standard Deviation from Group Data4.3 Coefficient of Variation (CV) and Coefficient of Dispersion (CD); 4.4 Exercises; 4.5 Additional Reading; 5. Basic Probability; 5.1 What is Probability?; 5.2 Elementary Sets as Events and Their Complements; 5.3 Independent and Disjoint Events; 5.4 Probability Rules; 5.5 Permutations and Combinations; 5.6 Probability Distributions; 5.7 The Binomial Distribution; 5.8 The Monty Hall Problem; 5.9 A Quality Assurance Problem; 5.10 Exercises; 5.11 Additional Reading; 6. The Normal Distribution
6.1 The Importance of the Normal Distribution in Statistics6.2 Properties of Normal Distributions; 6.3 Tabulating Areas under the Standard Normal Distribution; 6.4 Exercises; 6.5 Additional Reading; 7. Sampling Distributions for Means; 7.1 Population Distributions and the Distribution of Sample Averages from the Population; 7.2 The Central Limit Theorem; 7.3 Standard Error of the Mean; 7.4 Z Distribution Obtained When Standard Deviation Is Known; 7.5 Student's t Distribution Obtained When Standard Deviation Is Unknown; 7.6 Assumptions Required for t Distribution; 7.7 Exercises
7.8 Additional Reading
Record Nr. UNINA-9910830689103321
Chernick Michael R  
Hoboken, N.J., : Wiley-Interscience, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui