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Margins of error [[electronic resource] ] : a study of reliability in survey measurement / / Duane F. Alwin
| Margins of error [[electronic resource] ] : a study of reliability in survey measurement / / Duane F. Alwin |
| Autore | Alwin Duane F (Duane Francis), <1944-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (410 p.) |
| Disciplina |
001.4/33
001.433 519.52 |
| Collana | Wiley series in survey methodology |
| Soggetto topico |
Surveys
Error analysis (Mathematics) |
| ISBN |
1-280-93516-2
9786610935161 0-470-14631-1 0-470-14630-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Margins of Error: A Study of Reliability in Survey Measurement; Contents; Preface; Acknowledgments; Foreword; 1. Measurement Errors in Surveys; 1.1 Why Study Survey Measurement Error?; 1.2 Survey Errors; 1.3 Survey Measurement Errors; 1.4 Standards of Measurement; 1.5 Reliability of Measurement; 1.6 The Need for Further Research; 1.7 The Plan of this Book; 2. Sources of Survey Measurement Error; 2.1 The Ubiquity of Measurement Errors; 2.2 Sources of Measurement Error in Survey Reports; 2.3 Consequences of Measurement Error; 3. Reliability Theory for Survey Measures; 3.1 Key Notation
3.2 Basic Concepts of Classical Reliability Theory3.3 Nonrandom Measurement Error; 3.4 The Common-Factor Model Representation of CTST; 3.5 Scaling of Variables; 3.6 Designs for Reliability Estimation; 3.7 Validity and Measurement Error; 3.8 Reliability Models for Composite Scores; 3.9 Dealing with Nonrandom or Systematic Error; 3.10 Sampling Considerations; 3.11 Conclusions; 4. Reliability Methods for Multiple Measures; 4.1 Multiple Measures versus Multiple Indicators; 4.2 Multitrait-Multimethod Approaches; 4.3 Common-Factor Models of the MTMM Design 4.4 Classical True-Score Representation of the MTMM Model4.5 The Growing Body of MTMM Studies; 4.6 An Example; 4.7 Critique of the MTMM Approach; 4.8 Where Are We?; 5. Longitudinal Methods for Reliability Estimation; 5.1 The Test-Retest Method; 5.2 Solutions to the Problem; 5.3 Estimating Reliability Using the Quasi-Markov Simplex Model; 5.4 Contributions of the Longitudinal Approach; 5.5 Components of the Survey Response; 5.6 Where to from Here?; 6. Using Longitudinal Data to Estimate Reliability Parameters; 6.1 Rationale for the Present Study; 6.2 Samples and Data 6.3 Domains of Measurement6.4 Statistical Estimation Strategies; 6.5 Comparison of Methods of Reliability Estimation; 6.6 The Problem of Attrition; 6.7 Which Reliability Estimates?; 6.8 Conclusions; 7. The Source and Content of Survey Questions; 7.1 Source of Information; 7.2 Proxy Reports; 7.3 Content of Questions; 7.4 Summary and Conclusions; 8. Survey Question Context; 8.1 The Architecture of Survey Questionnaires; 8.2 Questions in Series versus Questions in Batteries; 8.3 Location in the Questionnaire; 8.4 Unit Length and Position in Series and Batteries 8.5 Length of Introductions to Series and Batteries8.6 Conclusions; 9. Formal Properties of Survey Questions; 9.1 Question Form; 9.2 Types of Closed-Form Questions; 9.3 Number of Response Categories; 9.4 Unipolar versus Bipolar Scales; 9.5 Don't Know Options; 9.6 Verbal Labeling of Response Categories; 9.7 Survey Question Length; 9.8 Conclusions; 10. Attributes of Respondents; 10.1 Reliability as a Population Parameter; 10.2 Respondent Attributes and Measurement Error; 10.3 Age and Reliability of Measurement; 10.4 Schooling and Reliability of Measurement 10.5 Controlling for Schooling Differences |
| Record Nr. | UNINA-9910830436103321 |
Alwin Duane F (Duane Francis), <1944->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Margins of error [[electronic resource] ] : a study of reliability in survey measurement / / Duane F. Alwin
| Margins of error [[electronic resource] ] : a study of reliability in survey measurement / / Duane F. Alwin |
| Autore | Alwin Duane F (Duane Francis), <1944-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (410 p.) |
| Disciplina |
001.4/33
001.433 519.52 |
| Collana | Wiley series in survey methodology |
| Soggetto topico |
Surveys
Error analysis (Mathematics) |
| ISBN |
1-280-93516-2
9786610935161 0-470-14631-1 0-470-14630-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Margins of Error: A Study of Reliability in Survey Measurement; Contents; Preface; Acknowledgments; Foreword; 1. Measurement Errors in Surveys; 1.1 Why Study Survey Measurement Error?; 1.2 Survey Errors; 1.3 Survey Measurement Errors; 1.4 Standards of Measurement; 1.5 Reliability of Measurement; 1.6 The Need for Further Research; 1.7 The Plan of this Book; 2. Sources of Survey Measurement Error; 2.1 The Ubiquity of Measurement Errors; 2.2 Sources of Measurement Error in Survey Reports; 2.3 Consequences of Measurement Error; 3. Reliability Theory for Survey Measures; 3.1 Key Notation
3.2 Basic Concepts of Classical Reliability Theory3.3 Nonrandom Measurement Error; 3.4 The Common-Factor Model Representation of CTST; 3.5 Scaling of Variables; 3.6 Designs for Reliability Estimation; 3.7 Validity and Measurement Error; 3.8 Reliability Models for Composite Scores; 3.9 Dealing with Nonrandom or Systematic Error; 3.10 Sampling Considerations; 3.11 Conclusions; 4. Reliability Methods for Multiple Measures; 4.1 Multiple Measures versus Multiple Indicators; 4.2 Multitrait-Multimethod Approaches; 4.3 Common-Factor Models of the MTMM Design 4.4 Classical True-Score Representation of the MTMM Model4.5 The Growing Body of MTMM Studies; 4.6 An Example; 4.7 Critique of the MTMM Approach; 4.8 Where Are We?; 5. Longitudinal Methods for Reliability Estimation; 5.1 The Test-Retest Method; 5.2 Solutions to the Problem; 5.3 Estimating Reliability Using the Quasi-Markov Simplex Model; 5.4 Contributions of the Longitudinal Approach; 5.5 Components of the Survey Response; 5.6 Where to from Here?; 6. Using Longitudinal Data to Estimate Reliability Parameters; 6.1 Rationale for the Present Study; 6.2 Samples and Data 6.3 Domains of Measurement6.4 Statistical Estimation Strategies; 6.5 Comparison of Methods of Reliability Estimation; 6.6 The Problem of Attrition; 6.7 Which Reliability Estimates?; 6.8 Conclusions; 7. The Source and Content of Survey Questions; 7.1 Source of Information; 7.2 Proxy Reports; 7.3 Content of Questions; 7.4 Summary and Conclusions; 8. Survey Question Context; 8.1 The Architecture of Survey Questionnaires; 8.2 Questions in Series versus Questions in Batteries; 8.3 Location in the Questionnaire; 8.4 Unit Length and Position in Series and Batteries 8.5 Length of Introductions to Series and Batteries8.6 Conclusions; 9. Formal Properties of Survey Questions; 9.1 Question Form; 9.2 Types of Closed-Form Questions; 9.3 Number of Response Categories; 9.4 Unipolar versus Bipolar Scales; 9.5 Don't Know Options; 9.6 Verbal Labeling of Response Categories; 9.7 Survey Question Length; 9.8 Conclusions; 10. Attributes of Respondents; 10.1 Reliability as a Population Parameter; 10.2 Respondent Attributes and Measurement Error; 10.3 Age and Reliability of Measurement; 10.4 Schooling and Reliability of Measurement 10.5 Controlling for Schooling Differences |
| Record Nr. | UNINA-9910840852303321 |
|
Alwin Duane F (Duane Francis), <1944->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metodi statistici per le indagini campionarie / Mario Montinaro
| Metodi statistici per le indagini campionarie / Mario Montinaro |
| Autore | Montinaro, Mario |
| Pubbl/distr/stampa | Torino : UTET, c 2004 |
| Descrizione fisica | XII, 189 p. ; 24 cm |
| Disciplina | 519.52 |
| Soggetto non controllato | Campionamento |
| ISBN | 88-7750-968-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Titolo uniforme | |
| Record Nr. | UNIPARTHENOPE-000026713 |
|
Montinaro, Mario
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| Torino : UTET, c 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Parthenope | ||
| ||
Minimax solutions in sampling from finite populations / Siegfried Gabler
| Minimax solutions in sampling from finite populations / Siegfried Gabler |
| Autore | Gabler, Siegfried |
| Pubbl/distr/stampa | New York [etc.] : Springer, c1990 |
| Descrizione fisica | IV, 132 p. ; 25 cm. |
| Disciplina | 519.52 |
| Collana | Lecture notes in statistics |
| Soggetto topico | Statistica |
| ISBN | 0-387-97358-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNIBAS-000016308 |
|
Gabler, Siegfried
|
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| New York [etc.] : Springer, c1990 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. della Basilicata | ||
| ||
Model assisted survey sampling / Carl-Erik Sarndal, Bengt Swensson, Jan Wretman
| Model assisted survey sampling / Carl-Erik Sarndal, Bengt Swensson, Jan Wretman |
| Autore | Sarndal, Carl-Erik |
| Pubbl/distr/stampa | New York : Springer Verlag, ©1992 |
| Descrizione fisica | XVI, 694 p. ; 24 cm |
| Disciplina | 519.52 |
| Altri autori (Persone) |
Swensson, Bengt
Wretman, Jan |
| Collana | Springer series in statistics |
| Soggetto non controllato | Campionamento |
| ISBN | 0387975284 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990002527720403321 |
|
Sarndal, Carl-Erik
|
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| New York : Springer Verlag, ©1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern applied U-statistics [[electronic resource] /] / Jeanne Kowalski; Xin M. Tu
| Modern applied U-statistics [[electronic resource] /] / Jeanne Kowalski; Xin M. Tu |
| Autore | Kowalski Jeanne |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley Pub., 2008 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina | 519.52 |
| Altri autori (Persone) | TuXin M |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
U-statistics
Mathematical statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-20376-9
9786611203764 0-470-18646-1 0-470-18645-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Applied U-Statistics; Contents; Preface; 1 Preliminaries; 1.1 Introduction; 1.1.1 The Linear Regression Model; 1.1.2 The Product-Moment Correlation; 1.1.3 The Rank-Based Mann-Whitney-Wilcoxon Test; 1.2 Measurability and Measure Space; 1.2.1 Measurable Space; 1.2.2 Measure Space; 1.3 Measurable Function and Integration; 1.3.1 Measurable Functions; 1.3.2 Convergence of Sequence of Measurable Functions; 1.3.3 Integration of Measurable Functions; 1.3.4 Integration of Sequences of Measurable Functions; 1.4 Probability Space and Random Variables; 1.4.1 Probability Space
1.4.2 Random Variables1.4.3 Random Vectors; 1.5 Distribution Function and Expectation; 1.5.1 Distribution Function; 1.5.2 Joint Distribution of Random Vectors; 1.5.3 Expectation; 1.5.4 Conditional Expectation; 1.6 Convergence of Random Variables and Vectors; 1.6.1 Modes of Convergence; 1.6.2 Convergence of Sequence of I.I.D. Random Variables; 1.6.3 Rate of Convergence of Random Sequence; 1.6.4 Stochastic op (.) and Op (.); 1.7 Convergence of Functions of Random Vectors; 1.7.1 Convergence of Functions of Random Variables; 1.7.2 Convergence of Functions of Random Vectors; 1.8 Exercises 2 Models for Cross-Sectional Data2.1 Parametric Regression Models; 2.1.1 Linear Regression Model; 2.1.2 Inference for Linear Models; 2.1.3 General Linear Hypothesis; 2.1.4 Generalized Linear Models; 2.1.5 Inference for Generalized Linear Models; 2.2 Distribution-Free (Semiparametric) Models; 2.2.1 Distribution-Free Generalized Linear Models; 2.2.2 Inference for Generalized Linear Models; 2.3 Exercises; 3 Univariate U-Statistics; 3.1 U-Statistics and Associated Models; 3.1.1 One Sample U-Statistics; 3.1.2 Two-Sample and General K Sample U-Statistics 3.1.3 Representation of U-Statistic by Order Statistic3.1.4 Martingale Structure of U-Statistic; 3.2 Inference for U-Statistics; 3.2.1 Projection of U-statistic; 3.2.2 Asymptotic Distribution of One-Group U-Statistic; 3.2.3 Asymptotic Distribution of K-Group U-Statistic; 3.3 Exercises; 4 Models for Clustered Data; 4.1 Longitudinal versus Cross-Sectional Designs; 4.2 Parametric Models; 4.2.1 Multivariate Normal Distribution Based Models; 4.2.2 Linear Mixed-Effects Model; 4.2.3 Generalized Linear Mixed-Effects Models; 4.2.4 Maximum Likelihood Inference; 4.3 Distribution-Free Models 4.3.1 Distribution-Free Models for Longitudinal Data4.3.2 Inference for Distribution-Free Models; 4.4 Missing Data; 4.4.1 Inference for Parametric Models; 4.4.2 Inference for Distribution-Free Models; 4.5 GEE II for Modeling Mean and Variance; 4.6 Structural Equations Models; 4.6.1 Path Diagrams and Models; 4.6.2 Maximum Likelihood Inference; 4.6.3 GEE-Based Inference; 4.7 Exercises; 5 Multivariate U-Statistics; 5.1 Models for Cross-Sectional Study Designs; 5.1.1 One Sample Multivariate U-Statistics; 5.1.2 General K Sample Multivariate U-Statistics; 5.2 Models for Longitudinal Study Designs 5.2.1 Inference in the Absence of Missing Data |
| Record Nr. | UNINA-9910144743403321 |
|
Kowalski Jeanne
|
||
| Hoboken, NJ, : Wiley Pub., 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern applied U-statistics [[electronic resource] /] / Jeanne Kowalski; Xin M. Tu
| Modern applied U-statistics [[electronic resource] /] / Jeanne Kowalski; Xin M. Tu |
| Autore | Kowalski Jeanne |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley Pub., 2008 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina | 519.52 |
| Altri autori (Persone) | TuXin M |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
U-statistics
Mathematical statistics |
| ISBN |
1-281-20376-9
9786611203764 0-470-18646-1 0-470-18645-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Applied U-Statistics; Contents; Preface; 1 Preliminaries; 1.1 Introduction; 1.1.1 The Linear Regression Model; 1.1.2 The Product-Moment Correlation; 1.1.3 The Rank-Based Mann-Whitney-Wilcoxon Test; 1.2 Measurability and Measure Space; 1.2.1 Measurable Space; 1.2.2 Measure Space; 1.3 Measurable Function and Integration; 1.3.1 Measurable Functions; 1.3.2 Convergence of Sequence of Measurable Functions; 1.3.3 Integration of Measurable Functions; 1.3.4 Integration of Sequences of Measurable Functions; 1.4 Probability Space and Random Variables; 1.4.1 Probability Space
1.4.2 Random Variables1.4.3 Random Vectors; 1.5 Distribution Function and Expectation; 1.5.1 Distribution Function; 1.5.2 Joint Distribution of Random Vectors; 1.5.3 Expectation; 1.5.4 Conditional Expectation; 1.6 Convergence of Random Variables and Vectors; 1.6.1 Modes of Convergence; 1.6.2 Convergence of Sequence of I.I.D. Random Variables; 1.6.3 Rate of Convergence of Random Sequence; 1.6.4 Stochastic op (.) and Op (.); 1.7 Convergence of Functions of Random Vectors; 1.7.1 Convergence of Functions of Random Variables; 1.7.2 Convergence of Functions of Random Vectors; 1.8 Exercises 2 Models for Cross-Sectional Data2.1 Parametric Regression Models; 2.1.1 Linear Regression Model; 2.1.2 Inference for Linear Models; 2.1.3 General Linear Hypothesis; 2.1.4 Generalized Linear Models; 2.1.5 Inference for Generalized Linear Models; 2.2 Distribution-Free (Semiparametric) Models; 2.2.1 Distribution-Free Generalized Linear Models; 2.2.2 Inference for Generalized Linear Models; 2.3 Exercises; 3 Univariate U-Statistics; 3.1 U-Statistics and Associated Models; 3.1.1 One Sample U-Statistics; 3.1.2 Two-Sample and General K Sample U-Statistics 3.1.3 Representation of U-Statistic by Order Statistic3.1.4 Martingale Structure of U-Statistic; 3.2 Inference for U-Statistics; 3.2.1 Projection of U-statistic; 3.2.2 Asymptotic Distribution of One-Group U-Statistic; 3.2.3 Asymptotic Distribution of K-Group U-Statistic; 3.3 Exercises; 4 Models for Clustered Data; 4.1 Longitudinal versus Cross-Sectional Designs; 4.2 Parametric Models; 4.2.1 Multivariate Normal Distribution Based Models; 4.2.2 Linear Mixed-Effects Model; 4.2.3 Generalized Linear Mixed-Effects Models; 4.2.4 Maximum Likelihood Inference; 4.3 Distribution-Free Models 4.3.1 Distribution-Free Models for Longitudinal Data4.3.2 Inference for Distribution-Free Models; 4.4 Missing Data; 4.4.1 Inference for Parametric Models; 4.4.2 Inference for Distribution-Free Models; 4.5 GEE II for Modeling Mean and Variance; 4.6 Structural Equations Models; 4.6.1 Path Diagrams and Models; 4.6.2 Maximum Likelihood Inference; 4.6.3 GEE-Based Inference; 4.7 Exercises; 5 Multivariate U-Statistics; 5.1 Models for Cross-Sectional Study Designs; 5.1.1 One Sample Multivariate U-Statistics; 5.1.2 General K Sample Multivariate U-Statistics; 5.2 Models for Longitudinal Study Designs 5.2.1 Inference in the Absence of Missing Data |
| Record Nr. | UNINA-9910830575303321 |
|
Kowalski Jeanne
|
||
| Hoboken, NJ, : Wiley Pub., 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern applied U-statistics [[electronic resource] /] / Jeanne Kowalski; Xin M. Tu
| Modern applied U-statistics [[electronic resource] /] / Jeanne Kowalski; Xin M. Tu |
| Autore | Kowalski Jeanne |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley Pub., 2008 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina | 519.52 |
| Altri autori (Persone) | TuXin M |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
U-statistics
Mathematical statistics |
| ISBN |
1-281-20376-9
9786611203764 0-470-18646-1 0-470-18645-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Applied U-Statistics; Contents; Preface; 1 Preliminaries; 1.1 Introduction; 1.1.1 The Linear Regression Model; 1.1.2 The Product-Moment Correlation; 1.1.3 The Rank-Based Mann-Whitney-Wilcoxon Test; 1.2 Measurability and Measure Space; 1.2.1 Measurable Space; 1.2.2 Measure Space; 1.3 Measurable Function and Integration; 1.3.1 Measurable Functions; 1.3.2 Convergence of Sequence of Measurable Functions; 1.3.3 Integration of Measurable Functions; 1.3.4 Integration of Sequences of Measurable Functions; 1.4 Probability Space and Random Variables; 1.4.1 Probability Space
1.4.2 Random Variables1.4.3 Random Vectors; 1.5 Distribution Function and Expectation; 1.5.1 Distribution Function; 1.5.2 Joint Distribution of Random Vectors; 1.5.3 Expectation; 1.5.4 Conditional Expectation; 1.6 Convergence of Random Variables and Vectors; 1.6.1 Modes of Convergence; 1.6.2 Convergence of Sequence of I.I.D. Random Variables; 1.6.3 Rate of Convergence of Random Sequence; 1.6.4 Stochastic op (.) and Op (.); 1.7 Convergence of Functions of Random Vectors; 1.7.1 Convergence of Functions of Random Variables; 1.7.2 Convergence of Functions of Random Vectors; 1.8 Exercises 2 Models for Cross-Sectional Data2.1 Parametric Regression Models; 2.1.1 Linear Regression Model; 2.1.2 Inference for Linear Models; 2.1.3 General Linear Hypothesis; 2.1.4 Generalized Linear Models; 2.1.5 Inference for Generalized Linear Models; 2.2 Distribution-Free (Semiparametric) Models; 2.2.1 Distribution-Free Generalized Linear Models; 2.2.2 Inference for Generalized Linear Models; 2.3 Exercises; 3 Univariate U-Statistics; 3.1 U-Statistics and Associated Models; 3.1.1 One Sample U-Statistics; 3.1.2 Two-Sample and General K Sample U-Statistics 3.1.3 Representation of U-Statistic by Order Statistic3.1.4 Martingale Structure of U-Statistic; 3.2 Inference for U-Statistics; 3.2.1 Projection of U-statistic; 3.2.2 Asymptotic Distribution of One-Group U-Statistic; 3.2.3 Asymptotic Distribution of K-Group U-Statistic; 3.3 Exercises; 4 Models for Clustered Data; 4.1 Longitudinal versus Cross-Sectional Designs; 4.2 Parametric Models; 4.2.1 Multivariate Normal Distribution Based Models; 4.2.2 Linear Mixed-Effects Model; 4.2.3 Generalized Linear Mixed-Effects Models; 4.2.4 Maximum Likelihood Inference; 4.3 Distribution-Free Models 4.3.1 Distribution-Free Models for Longitudinal Data4.3.2 Inference for Distribution-Free Models; 4.4 Missing Data; 4.4.1 Inference for Parametric Models; 4.4.2 Inference for Distribution-Free Models; 4.5 GEE II for Modeling Mean and Variance; 4.6 Structural Equations Models; 4.6.1 Path Diagrams and Models; 4.6.2 Maximum Likelihood Inference; 4.6.3 GEE-Based Inference; 4.7 Exercises; 5 Multivariate U-Statistics; 5.1 Models for Cross-Sectional Study Designs; 5.1.1 One Sample Multivariate U-Statistics; 5.1.2 General K Sample Multivariate U-Statistics; 5.2 Models for Longitudinal Study Designs 5.2.1 Inference in the Absence of Missing Data |
| Record Nr. | UNINA-9910840816003321 |
|
Kowalski Jeanne
|
||
| Hoboken, NJ, : Wiley Pub., 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern sampling theory : mathematics and applications / John J. Benedetto, Paulo J. S. G. Ferreira editors
| Modern sampling theory : mathematics and applications / John J. Benedetto, Paulo J. S. G. Ferreira editors |
| Pubbl/distr/stampa | Boston [etc.] : Birkhäuser, copyr. 2001 |
| Descrizione fisica | XVI, 417 p. : ill. ; 24 cm. |
| Disciplina | 519.52 |
| Collana | Applied and numerical harmonic analysis |
| Soggetto non controllato | Analisi numerica - Statistica |
| ISBN | 0-8176-4023-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990001823960203316 |
| Boston [etc.] : Birkhäuser, copyr. 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
The Monte Carlo method / I.M. Sobol ; translated from the Russian by V. I. Kisin
| The Monte Carlo method / I.M. Sobol ; translated from the Russian by V. I. Kisin |
| Autore | Sobol', Ilya M. |
| Pubbl/distr/stampa | Moscow : Mir Publishers, 1975 |
| Descrizione fisica | 72, [6] p. : ill. ; 20 cm |
| Disciplina | 519.52 |
| Collana | Little mathematics library |
| Soggetto topico | Monte Carlo method |
| Classificazione | LC QA298 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNISALENTO-991003532399707536 |
|
Sobol', Ilya M.
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| Moscow : Mir Publishers, 1975 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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