top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good
Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good
Autore Good Phillip I
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2005
Descrizione fisica 1 online resource (245 p.)
Disciplina 519.52
519.54
Soggetto topico Resampling (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-280-27720-3
9786610277209
0-470-32514-3
0-471-74177-9
0-471-74176-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto INTRODUCTION TO STATISTICS THROUGH RESAMPLING METHODS AND MICROSOFT OFFICE EXCEL®; Contents; Preface; 1. Variation (or What Statistics Is All About); 1.1. Variation; 1.2. Collecting Data; 1.3. Summarizing Your Data; 1.3.1 Learning to Use Excel; 1.4. Reporting Your Results: the Classroom Data; 1.4.1 Picturing Data; 1.4.2 Displaying Multiple Variables; 1.4.3 Percentiles of the Distribution; 1.5. Types of Data; 1.5.1 Depicting Categorical Data; 1.5.2 From Observations to Questions; 1.6. Measures of Location; 1.6.1 Which Measure of Location?; 1.6.2 The Bootstrap; 1.7. Samples and Populations
1.7.1 Drawing a Random Sample1.7.2 Ensuring the Sample is Representative; 1.8. Variation-Within and Between; 1.9. Summary and Review; 2. Probability; 2.1. Probability; 2.1.1 Events and Outcomes; 2.1.2 Venn Diagrams; 2.2. Binomial; 2.2.1 Permutations and Rearrangements; 2.2.2 Back to the Binomial; 2.2.3 The Problem Jury; 2.2.4 Properties of the Binomial; 2.2.5 Multinomial; 2.3. Conditional Probability; 2.3.1 Market Basket Analysis; 2.3.2 Negative Results; 2.4. Independence; 2.5. Applications to Genetics; 2.6. Summary and Review; 3. Distributions; 3.1. Distribution of Values
3.1.1 Cumulative Distribution Function3.1.2 Empirical Distribution Function; 3.2. Discrete Distributions; 3.3. Poisson: Events Rare in Time and Space; 3.3.1 Applying the Poisson; 3.3.2 Comparing Empirical and Theoretical Poisson Distributions; 3.4. Continuous Distributions; 3.4.1 The Exponential Distribution; 3.4.2 The Normal Distribution; 3.4.3 Mixtures of Normal Distributions; 3.5. Properties of Independent Observations; 3.6. Testing a Hypothesis; 3.6.1 Analyzing the Experiment; 3.6.2 Two Types of Errors; 3.7. Estimating Effect Size; 3.7.1 Confidence Interval for Difference in Means
3.7.2 Are Two Variables Correlated?3.7.3 Using Confidence Intervals to Test Hypotheses; 3.8. Summary and Review; 4. Testing Hypotheses; 4.1. One-Sample Problems; 4.1.1 Percentile Bootstrap; 4.1.2 Parametric Bootstrap; 4.1.3 Student's t; 4.2. Comparing Two Samples; 4.2.1 Comparing Two Poisson Distributions; 4.2.2 What Should We Measure?; 4.2.3 Permutation Monte Carlo; 4.2.4 Two-Sample t-Test; 4.3. Which Test Should We Use?; 4.3.1 p Values and Significance Levels; 4.3.2 Test Assumptions; 4.3.3 Robustness; 4.3.4 Power of a Test Procedure; 4.3.5 Testing for Correlation; 4.4. Summary and Review
5. Designing an Experiment or Survey5.1. The Hawthorne Effect; 5.1.1 Crafting an Experiment; 5.2. Designing an Experiment or Survey; 5.2.1 Objectives; 5.2.2 Sample from the Right Population; 5.2.3 Coping with Variation; 5.2.4 Matched Pairs; 5.2.5 The Experimental Unit; 5.2.6 Formulate Your Hypotheses; 5.2.7 What Are You Going to Measure?; 5.2.8 Random Representative Samples; 5.2.9 Treatment Allocation; 5.2.10 Choosing a Random Sample; 5.2.11 Ensuring that Your Observations are Independent; 5.3. How Large a Sample?; 5.3.1 Samples of Fixed Size; Known Distribution; Almost Normal Data
Bootstrap
Record Nr. UNINA-9910143402803321
Good Phillip I  
Hoboken, N.J., : Wiley-Interscience, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good
Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good
Autore Good Phillip I
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2005
Descrizione fisica 1 online resource (245 p.)
Disciplina 519.52
519.54
Soggetto topico Resampling (Statistics)
ISBN 1-280-27720-3
9786610277209
0-470-32514-3
0-471-74177-9
0-471-74176-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto INTRODUCTION TO STATISTICS THROUGH RESAMPLING METHODS AND MICROSOFT OFFICE EXCEL®; Contents; Preface; 1. Variation (or What Statistics Is All About); 1.1. Variation; 1.2. Collecting Data; 1.3. Summarizing Your Data; 1.3.1 Learning to Use Excel; 1.4. Reporting Your Results: the Classroom Data; 1.4.1 Picturing Data; 1.4.2 Displaying Multiple Variables; 1.4.3 Percentiles of the Distribution; 1.5. Types of Data; 1.5.1 Depicting Categorical Data; 1.5.2 From Observations to Questions; 1.6. Measures of Location; 1.6.1 Which Measure of Location?; 1.6.2 The Bootstrap; 1.7. Samples and Populations
1.7.1 Drawing a Random Sample1.7.2 Ensuring the Sample is Representative; 1.8. Variation-Within and Between; 1.9. Summary and Review; 2. Probability; 2.1. Probability; 2.1.1 Events and Outcomes; 2.1.2 Venn Diagrams; 2.2. Binomial; 2.2.1 Permutations and Rearrangements; 2.2.2 Back to the Binomial; 2.2.3 The Problem Jury; 2.2.4 Properties of the Binomial; 2.2.5 Multinomial; 2.3. Conditional Probability; 2.3.1 Market Basket Analysis; 2.3.2 Negative Results; 2.4. Independence; 2.5. Applications to Genetics; 2.6. Summary and Review; 3. Distributions; 3.1. Distribution of Values
3.1.1 Cumulative Distribution Function3.1.2 Empirical Distribution Function; 3.2. Discrete Distributions; 3.3. Poisson: Events Rare in Time and Space; 3.3.1 Applying the Poisson; 3.3.2 Comparing Empirical and Theoretical Poisson Distributions; 3.4. Continuous Distributions; 3.4.1 The Exponential Distribution; 3.4.2 The Normal Distribution; 3.4.3 Mixtures of Normal Distributions; 3.5. Properties of Independent Observations; 3.6. Testing a Hypothesis; 3.6.1 Analyzing the Experiment; 3.6.2 Two Types of Errors; 3.7. Estimating Effect Size; 3.7.1 Confidence Interval for Difference in Means
3.7.2 Are Two Variables Correlated?3.7.3 Using Confidence Intervals to Test Hypotheses; 3.8. Summary and Review; 4. Testing Hypotheses; 4.1. One-Sample Problems; 4.1.1 Percentile Bootstrap; 4.1.2 Parametric Bootstrap; 4.1.3 Student's t; 4.2. Comparing Two Samples; 4.2.1 Comparing Two Poisson Distributions; 4.2.2 What Should We Measure?; 4.2.3 Permutation Monte Carlo; 4.2.4 Two-Sample t-Test; 4.3. Which Test Should We Use?; 4.3.1 p Values and Significance Levels; 4.3.2 Test Assumptions; 4.3.3 Robustness; 4.3.4 Power of a Test Procedure; 4.3.5 Testing for Correlation; 4.4. Summary and Review
5. Designing an Experiment or Survey5.1. The Hawthorne Effect; 5.1.1 Crafting an Experiment; 5.2. Designing an Experiment or Survey; 5.2.1 Objectives; 5.2.2 Sample from the Right Population; 5.2.3 Coping with Variation; 5.2.4 Matched Pairs; 5.2.5 The Experimental Unit; 5.2.6 Formulate Your Hypotheses; 5.2.7 What Are You Going to Measure?; 5.2.8 Random Representative Samples; 5.2.9 Treatment Allocation; 5.2.10 Choosing a Random Sample; 5.2.11 Ensuring that Your Observations are Independent; 5.3. How Large a Sample?; 5.3.1 Samples of Fixed Size; Known Distribution; Almost Normal Data
Bootstrap
Record Nr. UNINA-9910831196003321
Good Phillip I  
Hoboken, N.J., : Wiley-Interscience, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good
Introduction to statistics through resampling methods and Microsoft Office Excel [[electronic resource] /] / Phillip I. Good
Autore Good Phillip I
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, c2005
Descrizione fisica 1 online resource (245 p.)
Disciplina 519.52
519.54
Soggetto topico Resampling (Statistics)
ISBN 1-280-27720-3
9786610277209
0-470-32514-3
0-471-74177-9
0-471-74176-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto INTRODUCTION TO STATISTICS THROUGH RESAMPLING METHODS AND MICROSOFT OFFICE EXCEL®; Contents; Preface; 1. Variation (or What Statistics Is All About); 1.1. Variation; 1.2. Collecting Data; 1.3. Summarizing Your Data; 1.3.1 Learning to Use Excel; 1.4. Reporting Your Results: the Classroom Data; 1.4.1 Picturing Data; 1.4.2 Displaying Multiple Variables; 1.4.3 Percentiles of the Distribution; 1.5. Types of Data; 1.5.1 Depicting Categorical Data; 1.5.2 From Observations to Questions; 1.6. Measures of Location; 1.6.1 Which Measure of Location?; 1.6.2 The Bootstrap; 1.7. Samples and Populations
1.7.1 Drawing a Random Sample1.7.2 Ensuring the Sample is Representative; 1.8. Variation-Within and Between; 1.9. Summary and Review; 2. Probability; 2.1. Probability; 2.1.1 Events and Outcomes; 2.1.2 Venn Diagrams; 2.2. Binomial; 2.2.1 Permutations and Rearrangements; 2.2.2 Back to the Binomial; 2.2.3 The Problem Jury; 2.2.4 Properties of the Binomial; 2.2.5 Multinomial; 2.3. Conditional Probability; 2.3.1 Market Basket Analysis; 2.3.2 Negative Results; 2.4. Independence; 2.5. Applications to Genetics; 2.6. Summary and Review; 3. Distributions; 3.1. Distribution of Values
3.1.1 Cumulative Distribution Function3.1.2 Empirical Distribution Function; 3.2. Discrete Distributions; 3.3. Poisson: Events Rare in Time and Space; 3.3.1 Applying the Poisson; 3.3.2 Comparing Empirical and Theoretical Poisson Distributions; 3.4. Continuous Distributions; 3.4.1 The Exponential Distribution; 3.4.2 The Normal Distribution; 3.4.3 Mixtures of Normal Distributions; 3.5. Properties of Independent Observations; 3.6. Testing a Hypothesis; 3.6.1 Analyzing the Experiment; 3.6.2 Two Types of Errors; 3.7. Estimating Effect Size; 3.7.1 Confidence Interval for Difference in Means
3.7.2 Are Two Variables Correlated?3.7.3 Using Confidence Intervals to Test Hypotheses; 3.8. Summary and Review; 4. Testing Hypotheses; 4.1. One-Sample Problems; 4.1.1 Percentile Bootstrap; 4.1.2 Parametric Bootstrap; 4.1.3 Student's t; 4.2. Comparing Two Samples; 4.2.1 Comparing Two Poisson Distributions; 4.2.2 What Should We Measure?; 4.2.3 Permutation Monte Carlo; 4.2.4 Two-Sample t-Test; 4.3. Which Test Should We Use?; 4.3.1 p Values and Significance Levels; 4.3.2 Test Assumptions; 4.3.3 Robustness; 4.3.4 Power of a Test Procedure; 4.3.5 Testing for Correlation; 4.4. Summary and Review
5. Designing an Experiment or Survey5.1. The Hawthorne Effect; 5.1.1 Crafting an Experiment; 5.2. Designing an Experiment or Survey; 5.2.1 Objectives; 5.2.2 Sample from the Right Population; 5.2.3 Coping with Variation; 5.2.4 Matched Pairs; 5.2.5 The Experimental Unit; 5.2.6 Formulate Your Hypotheses; 5.2.7 What Are You Going to Measure?; 5.2.8 Random Representative Samples; 5.2.9 Treatment Allocation; 5.2.10 Choosing a Random Sample; 5.2.11 Ensuring that Your Observations are Independent; 5.3. How Large a Sample?; 5.3.1 Samples of Fixed Size; Known Distribution; Almost Normal Data
Bootstrap
Record Nr. UNINA-9910841452603321
Good Phillip I  
Hoboken, N.J., : Wiley-Interscience, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduzione al campionamento e all'inferenza statistica / G. Ferrari, R.Leoni, G. Marliani
Introduzione al campionamento e all'inferenza statistica / G. Ferrari, R.Leoni, G. Marliani
Autore FERRARI, Guido
Pubbl/distr/stampa Firenze : Libreria Alfani editrice, 1992
Descrizione fisica VI, 273 p. ; 24 cm
Disciplina 519.52
Altri autori (Persone) LEONI, Renato
MARLIANI, Gianni
Soggetto topico Campionamento
Inferenza statistica
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-990000076080203316
FERRARI, Guido  
Firenze : Libreria Alfani editrice, 1992
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Introduzione al campionamento e all'inferenza statistica / Guido Ferrari, Renato Leoni, Gianni Marliani
Introduzione al campionamento e all'inferenza statistica / Guido Ferrari, Renato Leoni, Gianni Marliani
Autore Ferrari, Guido
Edizione [2. ed.]
Pubbl/distr/stampa Firenze : Alfani, 1992
Descrizione fisica VI, 273 p., 4 tav. : ill. ; 24 cm
Disciplina 519
519.54
001.422 2
519.52
Altri autori (Persone) Leoni, Renato
Marliani, Gianni
Soggetto non controllato Inferenza statistica
Campionamento
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-990002508770403321
Ferrari, Guido  
Firenze : Alfani, 1992
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduzione al campionamento e all'inferenza statistica / G. Ferrari, R. Leoni, G. Marliani
Introduzione al campionamento e all'inferenza statistica / G. Ferrari, R. Leoni, G. Marliani
Autore Ferrari, Guido
Pubbl/distr/stampa Firenze : Libreria Alfani Editrice, 1988
Descrizione fisica 245 p. ; 24 cm.
Disciplina 519.52
Altri autori (Persone) Marliani, Gianni
Leoni, Renato
Soggetto topico Statistica matematica
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNICAMPANIA-SUN0105620
Ferrari, Guido  
Firenze : Libreria Alfani Editrice, 1988
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Introduzione al campionamento e all'inferenza statistica / G. Ferrari, R. Leoni, G. Marliani
Introduzione al campionamento e all'inferenza statistica / G. Ferrari, R. Leoni, G. Marliani
Autore Ferrari, Guido
Pubbl/distr/stampa Firenze, : Libreria Alfani Editrice, 1988
Descrizione fisica 245 p. ; 24 cm.
Disciplina 519.52
Altri autori (Persone) Leoni, Renato
Marliani, Gianni
Soggetto topico Statistica matematica
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNICAMPANIA-VAN0105620
Ferrari, Guido  
Firenze, : Libreria Alfani Editrice, 1988
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
The jackknife, the bootstrap, and other resampling plans / Bradley Efron
The jackknife, the bootstrap, and other resampling plans / Bradley Efron
Autore Efron, Bradley
Pubbl/distr/stampa Philadelphia, Pa. : SIAM (Society for Industrial and Applied Mathematics), 1982
Descrizione fisica vii, 92 p. : ill. ; 25 cm.
Disciplina 519.52
Collana CBMS-NSF Regional conference series in applied mathematics ; 38
Soggetto topico Bootstrap (Statistics)
Error analysis (Mathematics)
Estimation theory
Jackknife (Statistics)
Resampling (Statistics)
ISBN 0898711797
Classificazione AMS 62D05
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001048589707536
Efron, Bradley  
Philadelphia, Pa. : SIAM (Society for Industrial and Applied Mathematics), 1982
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
L' indagine campionaria : metodi, disegni e tecnoche di campionamento / Luigi Fabbris
L' indagine campionaria : metodi, disegni e tecnoche di campionamento / Luigi Fabbris
Autore FABBRIS, Luigi
Pubbl/distr/stampa Roma : NIS, 1989
Descrizione fisica 261 p. ; 24 cm
Disciplina 519.52
Collana Biblioteca di statistica
Soggetto topico Campionamento
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-990000585120203316
FABBRIS, Luigi  
Roma : NIS, 1989
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
L'indagine campionaria : metodi, disegni e tecniche di campionamento / Luigi Fabbris
L'indagine campionaria : metodi, disegni e tecniche di campionamento / Luigi Fabbris
Autore Fabbris, Luigi
Pubbl/distr/stampa Roma : NIS, 1989 (, stampa 1993)
Descrizione fisica 261 p. ; 24 cm
Disciplina 519.52
Collana Biblioteca di statistica
Soggetto non controllato Campionamento
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNIPARTHENOPE-000001551
Fabbris, Luigi  
Roma : NIS, 1989 (, stampa 1993)
Materiale a stampa
Lo trovi qui: Univ. Parthenope
Opac: Controlla la disponibilità qui