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Biostatistics : a methodology for the health sciences / / Gerald van Belle [and four others]
Biostatistics : a methodology for the health sciences / / Gerald van Belle [and four others]
Autore Van Belle Gerald
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2004]
Descrizione fisica 1 online resource (894 p.)
Disciplina 570.15195
Altri autori (Persone) Van BelleGerald
FisherLloyd <1939->
Collana Wiley series in probability and statistics
Soggetto topico Biometry
Biometria
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 0-471-60235-3
1-280-26489-6
9786610264896
0-470-33929-2
0-471-60239-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biostatistics; Contents; Preface to the First Edition; Preface to the Second Edition; 1. Introduction to Biostatistics; 2. Biostatistical Design of Medical Studies; 3. Descriptive Statistics; 4. Statistical Inference: Populations and Samples; 5. One- and Two-Sample Inference; 6. Counting Data; 7. Categorical Data: Contingency Tables; 8. Nonparametric, Distribution-Free, and Permutation Models: Robust Procedures; 9. Association and Prediction: Linear Models with One Predictor Variable; 10. Analysis of Variance
11. Association and Prediction: Multiple Regression Analysis and Linear Models with Multiple Predictor Variables12. Multiple Comparisons; 13. Discrimination and Classification; 14. Principal Component Analysis and Factor Analysis; 15. Rates and Proportions; 16. Analysis of the Time to an Event: Survival Analysis; 17. Sample Sizes for Observational Studies; 18. Longitudinal Data Analysis; 19. Randomized Clinical Trials; 20. Personal Postscript; Appendix; Author Index; Subject Index; Symbol Index
Record Nr. UNINA-9910677262403321
Van Belle Gerald  
Hoboken, New Jersey : , : Wiley, , [2004]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biostatistics for oral healthcare / / Jay S. Kim, Ronald J. Dailey
Biostatistics for oral healthcare / / Jay S. Kim, Ronald J. Dailey
Autore Kim Jay S
Pubbl/distr/stampa Ames, Iowa, : Blackwell Munksgaard, 2008
Descrizione fisica 1 online resource (344 pages)
Disciplina 617.60072
Altri autori (Persone) DaileyRonald
Soggetto topico Odontologia
Estadística matemàtica
Biometria
Dentistry - Statistical methods
Biometry
Soggetto genere / forma Llibres electrònics
ISBN 1-281-45040-5
9786611450403
0-470-38830-7
0-470-38827-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biostatistics for Oral Healthcare; Contents; Preface; 1 Introduction; 1.1 What Is Biostatistics?; 1.2 Why Do I Need Statistics?; 1.3 How Much Mathematics Do I Need?; 1.4 How Do I Study Statistics?; 1.5 Reference; 2 Summarizing Data and Clinical Trials; 2.1 Raw Data and Basic Terminology; 2.2 The Levels of Measurements; 2.3 Frequency Distributions; 2.3.1 Frequency Tables; 2.3.2 Relative Frequency; 2.4 Graphs; 2.4.1 Bar Graphs; 2.4.2 Pie Charts; 2.4.3 Line Graph; 2.4.4 Histograms; 2.4.5 Stem and Leaf Plots; 2.5 Clinical Trials and Designs; 2.6 Confounding Variables; 2.7 Exercises
2.8 References; 3 Measures of Central Tendency, Dispersion, and Skewness; 3.1 Introduction; 3.2 Mean; 3.3 Weighted Mean; 3.4 Median; 3.5 Mode; 3.6 Geometric Mean; 3.7 Harmonic Mean; 3.8 Mean and Median of Grouped Data; 3.9 Mean of Two or More Means; 3.10 Range; 3.11 Percentiles and Interquartile Range; 3.12 Box-Whisker Plot; 3.13 Variance and Standard Deviation; 3.14 Coefficient of Variation; 3.15 Variance of Grouped Data; 3.16 Skewness; 3.17 Exercises; 3.18 References; 4 Probability; 4.1 Introduction; 4.2 Sample Space and Events; 4.3 Basic Properties of Probability
4.4 Independence and Mutually Exclusive Events; 4.5 Conditional Probability; 4.6 Bayes Theorem; 4.7 Rates and Proportions; 4.7.1 Prevalence and Incidence; 4.7.2 Sensitivity and Specificity; 4.7.3 Relative Risk and Odds Ratio; 4.8 Exercises; 4.9 References; 5 Probability Distributions; 5.1 Introduction; 5.2 Binomial Distribution; 5.3 Poisson Distribution; 5.4 Poisson Approximation to Binomial Distribution; 5.5 Normal Distribution; 5.5.1 Properties of Normal 5.5 NORMAL DISTRIBUTION Distribution; 5.5.2 Standard Normal Distribution; 5.5.3 Using Normal Probability Table
5.5.4 Further Applications of Normal Probability; 5.5.5 Finding the (1-a) 100th Percentiles; 5.5.6 Normal Approximation to the Binomial Distribution; 5.6 Exercises; 5.7 References; 6 Sampling Distributions; 6.1 Introduction; 6.2 Sampling Distribution of the Mean; 6.2.1 Standard Error of the Sample Mean; 6.2.2 Central Limit Theorem; 6.3 Student t Distribution; 6.4 Exercises; 6.5 References; 7 Confidence Intervals and Sample Size; 7.1 Introduction; 7.2 Confidence Intervals for the Mean μ and Sample Size n When σ Is Known
7.3 Confidence Intervals for the Mean μ and Sample Size n When σ Is Not Known; 7.4 Confidence Intervals for the Binomial Parameter p; 7.5 Confidence Intervals for the Variances and Standard Deviations; 7.6 Exercises; 7.7 References; 8 Hypothesis Testing: One-Sample Case; 8.1 Introduction; 8.2 Concepts of Hypothesis Testing; 8.3 One-Tailed Z Test of the Mean of a Normal Distribution When σ2 Is Known; 8.4 Two-Tailed Z Test of the Mean of a Normal Distribution When σ2 Is Known; 8.5 t Test of the Mean of a Normal Distribution; 8.6 The Power of a Test and Sample Size; 8.7 One-Sample Test for a Binomial Proportion
Record Nr. UNINA-9910143830703321
Kim Jay S  
Ames, Iowa, : Blackwell Munksgaard, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biostatistics for oral healthcare / / Jay S. Kim, Ronald J. Dailey
Biostatistics for oral healthcare / / Jay S. Kim, Ronald J. Dailey
Autore Kim Jay S
Edizione [1st ed.]
Pubbl/distr/stampa Ames, Iowa, : Blackwell Munksgaard, 2008
Descrizione fisica 1 online resource (344 pages)
Disciplina 617.60072
Altri autori (Persone) DaileyRonald
Soggetto topico Odontologia
Estadística matemàtica
Biometria
Dentistry - Statistical methods
Biometry
Soggetto genere / forma Llibres electrònics
ISBN 1-281-45040-5
9786611450403
0-470-38830-7
0-470-38827-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biostatistics for Oral Healthcare; Contents; Preface; 1 Introduction; 1.1 What Is Biostatistics?; 1.2 Why Do I Need Statistics?; 1.3 How Much Mathematics Do I Need?; 1.4 How Do I Study Statistics?; 1.5 Reference; 2 Summarizing Data and Clinical Trials; 2.1 Raw Data and Basic Terminology; 2.2 The Levels of Measurements; 2.3 Frequency Distributions; 2.3.1 Frequency Tables; 2.3.2 Relative Frequency; 2.4 Graphs; 2.4.1 Bar Graphs; 2.4.2 Pie Charts; 2.4.3 Line Graph; 2.4.4 Histograms; 2.4.5 Stem and Leaf Plots; 2.5 Clinical Trials and Designs; 2.6 Confounding Variables; 2.7 Exercises
2.8 References; 3 Measures of Central Tendency, Dispersion, and Skewness; 3.1 Introduction; 3.2 Mean; 3.3 Weighted Mean; 3.4 Median; 3.5 Mode; 3.6 Geometric Mean; 3.7 Harmonic Mean; 3.8 Mean and Median of Grouped Data; 3.9 Mean of Two or More Means; 3.10 Range; 3.11 Percentiles and Interquartile Range; 3.12 Box-Whisker Plot; 3.13 Variance and Standard Deviation; 3.14 Coefficient of Variation; 3.15 Variance of Grouped Data; 3.16 Skewness; 3.17 Exercises; 3.18 References; 4 Probability; 4.1 Introduction; 4.2 Sample Space and Events; 4.3 Basic Properties of Probability
4.4 Independence and Mutually Exclusive Events; 4.5 Conditional Probability; 4.6 Bayes Theorem; 4.7 Rates and Proportions; 4.7.1 Prevalence and Incidence; 4.7.2 Sensitivity and Specificity; 4.7.3 Relative Risk and Odds Ratio; 4.8 Exercises; 4.9 References; 5 Probability Distributions; 5.1 Introduction; 5.2 Binomial Distribution; 5.3 Poisson Distribution; 5.4 Poisson Approximation to Binomial Distribution; 5.5 Normal Distribution; 5.5.1 Properties of Normal 5.5 NORMAL DISTRIBUTION Distribution; 5.5.2 Standard Normal Distribution; 5.5.3 Using Normal Probability Table
5.5.4 Further Applications of Normal Probability; 5.5.5 Finding the (1-a) 100th Percentiles; 5.5.6 Normal Approximation to the Binomial Distribution; 5.6 Exercises; 5.7 References; 6 Sampling Distributions; 6.1 Introduction; 6.2 Sampling Distribution of the Mean; 6.2.1 Standard Error of the Sample Mean; 6.2.2 Central Limit Theorem; 6.3 Student t Distribution; 6.4 Exercises; 6.5 References; 7 Confidence Intervals and Sample Size; 7.1 Introduction; 7.2 Confidence Intervals for the Mean μ and Sample Size n When σ Is Known
7.3 Confidence Intervals for the Mean μ and Sample Size n When σ Is Not Known; 7.4 Confidence Intervals for the Binomial Parameter p; 7.5 Confidence Intervals for the Variances and Standard Deviations; 7.6 Exercises; 7.7 References; 8 Hypothesis Testing: One-Sample Case; 8.1 Introduction; 8.2 Concepts of Hypothesis Testing; 8.3 One-Tailed Z Test of the Mean of a Normal Distribution When σ2 Is Known; 8.4 Two-Tailed Z Test of the Mean of a Normal Distribution When σ2 Is Known; 8.5 t Test of the Mean of a Normal Distribution; 8.6 The Power of a Test and Sample Size; 8.7 One-Sample Test for a Binomial Proportion
Record Nr. UNISA-996199137503316
Kim Jay S  
Ames, Iowa, : Blackwell Munksgaard, 2008
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Biostatistics for oral healthcare / / Jay S. Kim, Ronald J. Dailey
Biostatistics for oral healthcare / / Jay S. Kim, Ronald J. Dailey
Autore Kim Jay S
Edizione [1st ed.]
Pubbl/distr/stampa Ames, Iowa, : Blackwell Munksgaard, 2008
Descrizione fisica 1 online resource (344 pages)
Disciplina 617.60072
Altri autori (Persone) DaileyRonald
Soggetto topico Odontologia
Estadística matemàtica
Biometria
Dentistry - Statistical methods
Biometry
Soggetto genere / forma Llibres electrònics
ISBN 1-281-45040-5
9786611450403
0-470-38830-7
0-470-38827-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biostatistics for Oral Healthcare; Contents; Preface; 1 Introduction; 1.1 What Is Biostatistics?; 1.2 Why Do I Need Statistics?; 1.3 How Much Mathematics Do I Need?; 1.4 How Do I Study Statistics?; 1.5 Reference; 2 Summarizing Data and Clinical Trials; 2.1 Raw Data and Basic Terminology; 2.2 The Levels of Measurements; 2.3 Frequency Distributions; 2.3.1 Frequency Tables; 2.3.2 Relative Frequency; 2.4 Graphs; 2.4.1 Bar Graphs; 2.4.2 Pie Charts; 2.4.3 Line Graph; 2.4.4 Histograms; 2.4.5 Stem and Leaf Plots; 2.5 Clinical Trials and Designs; 2.6 Confounding Variables; 2.7 Exercises
2.8 References; 3 Measures of Central Tendency, Dispersion, and Skewness; 3.1 Introduction; 3.2 Mean; 3.3 Weighted Mean; 3.4 Median; 3.5 Mode; 3.6 Geometric Mean; 3.7 Harmonic Mean; 3.8 Mean and Median of Grouped Data; 3.9 Mean of Two or More Means; 3.10 Range; 3.11 Percentiles and Interquartile Range; 3.12 Box-Whisker Plot; 3.13 Variance and Standard Deviation; 3.14 Coefficient of Variation; 3.15 Variance of Grouped Data; 3.16 Skewness; 3.17 Exercises; 3.18 References; 4 Probability; 4.1 Introduction; 4.2 Sample Space and Events; 4.3 Basic Properties of Probability
4.4 Independence and Mutually Exclusive Events; 4.5 Conditional Probability; 4.6 Bayes Theorem; 4.7 Rates and Proportions; 4.7.1 Prevalence and Incidence; 4.7.2 Sensitivity and Specificity; 4.7.3 Relative Risk and Odds Ratio; 4.8 Exercises; 4.9 References; 5 Probability Distributions; 5.1 Introduction; 5.2 Binomial Distribution; 5.3 Poisson Distribution; 5.4 Poisson Approximation to Binomial Distribution; 5.5 Normal Distribution; 5.5.1 Properties of Normal 5.5 NORMAL DISTRIBUTION Distribution; 5.5.2 Standard Normal Distribution; 5.5.3 Using Normal Probability Table
5.5.4 Further Applications of Normal Probability; 5.5.5 Finding the (1-a) 100th Percentiles; 5.5.6 Normal Approximation to the Binomial Distribution; 5.6 Exercises; 5.7 References; 6 Sampling Distributions; 6.1 Introduction; 6.2 Sampling Distribution of the Mean; 6.2.1 Standard Error of the Sample Mean; 6.2.2 Central Limit Theorem; 6.3 Student t Distribution; 6.4 Exercises; 6.5 References; 7 Confidence Intervals and Sample Size; 7.1 Introduction; 7.2 Confidence Intervals for the Mean μ and Sample Size n When σ Is Known
7.3 Confidence Intervals for the Mean μ and Sample Size n When σ Is Not Known; 7.4 Confidence Intervals for the Binomial Parameter p; 7.5 Confidence Intervals for the Variances and Standard Deviations; 7.6 Exercises; 7.7 References; 8 Hypothesis Testing: One-Sample Case; 8.1 Introduction; 8.2 Concepts of Hypothesis Testing; 8.3 One-Tailed Z Test of the Mean of a Normal Distribution When σ2 Is Known; 8.4 Two-Tailed Z Test of the Mean of a Normal Distribution When σ2 Is Known; 8.5 t Test of the Mean of a Normal Distribution; 8.6 The Power of a Test and Sample Size; 8.7 One-Sample Test for a Binomial Proportion
Record Nr. UNINA-9910826376103321
Kim Jay S  
Ames, Iowa, : Blackwell Munksgaard, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational reconstruction of missing data in biological research / / Feng Bao
Computational reconstruction of missing data in biological research / / Feng Bao
Autore Bao Feng
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Gateway East, Singapore : , : Tsinghua University Press : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVII, 105 p. 43 illus., 41 illus. in color.)
Disciplina 570.285
Collana Springer theses
Soggetto topico Biology - Data processing
Biologia
Processament de dades
Aprenentatge automàtic
Estructures de dades (Informàtica)
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 981-16-3064-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Introduction -- Chapter 2 Fast computational recovery of missing features for large-scale biological data -- Chapter 3 Computational recovery of information from low-quality and missing labels -- Chapter 4 Computational recovery of sample missings -- Chapter 5 Summary and outlook.
Record Nr. UNINA-9910495162503321
Bao Feng  
Gateway East, Singapore : , : Tsinghua University Press : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational reconstruction of missing data in biological research / / Feng Bao
Computational reconstruction of missing data in biological research / / Feng Bao
Autore Bao Feng
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Gateway East, Singapore : , : Tsinghua University Press : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVII, 105 p. 43 illus., 41 illus. in color.)
Disciplina 570.285
Collana Springer theses
Soggetto topico Biology - Data processing
Biologia
Processament de dades
Aprenentatge automàtic
Estructures de dades (Informàtica)
Estadística matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 981-16-3064-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Introduction -- Chapter 2 Fast computational recovery of missing features for large-scale biological data -- Chapter 3 Computational recovery of information from low-quality and missing labels -- Chapter 4 Computational recovery of sample missings -- Chapter 5 Summary and outlook.
Record Nr. UNISA-996466406003316
Bao Feng  
Gateway East, Singapore : , : Tsinghua University Press : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Autore Hainaut Donatien
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (359 pages)
Disciplina 332.015195
Collana Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics
Soggetto topico Probabilities
Social sciences - Mathematics
Econometrics
Actuarial science
Probability Theory
Mathematics in Business, Economics and Finance
Actuarial Mathematics
Quantitative Economics
Finances
Models matemàtics
Estadística matemàtica
Processos estocàstics
Anàlisi de sèries temporals
Soggetto genere / forma Llibres electrònics
ISBN 9783031063619
9783031063602
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgements -- Notations -- 1. Switching Models: Properties and Estimation -- 2. Estimation of Continuous Time Processes by Markov Chain Monte Carlo -- 3. Particle Filtering and Estimation -- 4. Modeling of Spillover Effects in Stock Markets -- 5. Non-Markov Models for Contagion and Spillover -- 6. Fractional Brownian Motion -- 7. Gaussian Fields for Asset Prices -- 8. Lévy Interest Rate Models With a Long Memory -- 9. Affine Volterra Processes and Rough Models -- 10. Sub-Diffusion for Illiquid Markets -- 11. A Fractional Dupire Equation for Jump-Diffusions -- References.
Record Nr. UNISA-996485661303316
Hainaut Donatien  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Continuous Time Processes for Finance [[electronic resource] ] : Switching, Self-exciting, Fractional and other Recent Dynamics / / by Donatien Hainaut
Autore Hainaut Donatien
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (359 pages)
Disciplina 332.015195
Collana Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics
Soggetto topico Probabilities
Social sciences - Mathematics
Econometrics
Actuarial science
Probability Theory
Mathematics in Business, Economics and Finance
Actuarial Mathematics
Quantitative Economics
Finances
Models matemàtics
Estadística matemàtica
Processos estocàstics
Anàlisi de sèries temporals
Soggetto genere / forma Llibres electrònics
ISBN 9783031063619
9783031063602
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acknowledgements -- Notations -- 1. Switching Models: Properties and Estimation -- 2. Estimation of Continuous Time Processes by Markov Chain Monte Carlo -- 3. Particle Filtering and Estimation -- 4. Modeling of Spillover Effects in Stock Markets -- 5. Non-Markov Models for Contagion and Spillover -- 6. Fractional Brownian Motion -- 7. Gaussian Fields for Asset Prices -- 8. Lévy Interest Rate Models With a Long Memory -- 9. Affine Volterra Processes and Rough Models -- 10. Sub-Diffusion for Illiquid Markets -- 11. A Fractional Dupire Equation for Jump-Diffusions -- References.
Record Nr. UNINA-9910590077503321
Hainaut Donatien  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A course on small area estimation and mixed models : methods, theory and applications in R / / Domingo Morales [and three others]
A course on small area estimation and mixed models : methods, theory and applications in R / / Domingo Morales [and three others]
Autore Morales Domingo
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XX, 599 p. 373 illus., 10 illus. in color.)
Disciplina 519.52
Collana Statistics for Social and Behavioral Sciences
Soggetto topico Small area statistics
R (Computer program language)
Estadística matemàtica
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-030-63757-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Small Area Estimation -- 2 Design-based Direct Estimation -- 3 Design-based Indirect Estimation -- 4 Prediction Theory -- 5 Linear Models -- 6 Linear Mixed Models -- 7 Nested Error Regression Models -- 8 EBLUPs under Nested Error Regression Models -- 9 Mean Squared Error of EBLUPs -- 10 EBPs under Nested Error Regression Models -- 11 EBLUPs under Two-fold Nested Error Regression Models -- 12 EBPs under Two-fold Nested Error Regression Models -- 13 Random Regression Coefficient Models -- 14 EBPs under Unit-level Logit Mixed Models -- 15 EBPs under Unit-level Two-fold Logit Mixed Models -- 16 Fay-Herriot Models -- 17 Area-level Temporal Linear Mixed Models -- 18 Area-level Spatio-temporal Linear Mixed Models -- 19 Area-level Bivariate Linear Mixed Models -- 20 Area-level Poisson Mixed Models -- 21 Area-level Temporal Poisson Mixed Models -- A Some Useful Formulas -- Index.
Record Nr. UNISA-996466548403316
Morales Domingo  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
A course on small area estimation and mixed models : methods, theory and applications in R / / Domingo Morales [and three others]
A course on small area estimation and mixed models : methods, theory and applications in R / / Domingo Morales [and three others]
Autore Morales Domingo
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XX, 599 p. 373 illus., 10 illus. in color.)
Disciplina 519.52
Collana Statistics for Social and Behavioral Sciences
Soggetto topico Small area statistics
R (Computer program language)
Estadística matemàtica
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-030-63757-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Small Area Estimation -- 2 Design-based Direct Estimation -- 3 Design-based Indirect Estimation -- 4 Prediction Theory -- 5 Linear Models -- 6 Linear Mixed Models -- 7 Nested Error Regression Models -- 8 EBLUPs under Nested Error Regression Models -- 9 Mean Squared Error of EBLUPs -- 10 EBPs under Nested Error Regression Models -- 11 EBLUPs under Two-fold Nested Error Regression Models -- 12 EBPs under Two-fold Nested Error Regression Models -- 13 Random Regression Coefficient Models -- 14 EBPs under Unit-level Logit Mixed Models -- 15 EBPs under Unit-level Two-fold Logit Mixed Models -- 16 Fay-Herriot Models -- 17 Area-level Temporal Linear Mixed Models -- 18 Area-level Spatio-temporal Linear Mixed Models -- 19 Area-level Bivariate Linear Mixed Models -- 20 Area-level Poisson Mixed Models -- 21 Area-level Temporal Poisson Mixed Models -- A Some Useful Formulas -- Index.
Record Nr. UNINA-9910484980203321
Morales Domingo  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui