Statistics in language research [[electronic resource] ] : analysis of variance / / by Toni Rietveld and Roeland van Hout |
Autore | Rietveld Toni <1949-> |
Edizione | [Reprint 2010] |
Pubbl/distr/stampa | Berlin ; ; New York, : Mouton de Gruyter, c2005 |
Descrizione fisica | 1 online resource (276 p.) |
Disciplina | 410/.2/1 |
Altri autori (Persone) | HoutRoeland van |
Soggetto topico |
Linguistics - Statistical methods
Analysis of variance |
Soggetto non controllato | Statistics, applied statictics, computational linguistics, psycholinguistics |
ISBN | 3-11-087780-5 |
Classificazione | ER 760 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- 1. Language research and statistics -- 2. Basic statistical procedures: one sample -- 3. Basic statistical procedures: two samples -- 4. Principles of analysis of variance -- 5. Multifactorial designs -- 6. Additional tests and indices in analysis of variance -- 7. Violations of assumptions in factorial designs and unbalanced designs -- 8. Repeated measures designs -- 9. Alternative estimation procedures and missing data -- 10. Alternatives to analysis of variance -- References -- Appendices -- Index |
Record Nr. | UNINA-9910786999903321 |
Rietveld Toni <1949-> | ||
Berlin ; ; New York, : Mouton de Gruyter, c2005 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistics in language research : analysis of variance / / by Toni Rietveld and Roeland van Hout |
Autore | Rietveld Toni <1949-> |
Edizione | [Reprint 2010] |
Pubbl/distr/stampa | Berlin ; ; New York, : Mouton de Gruyter, c2005 |
Descrizione fisica | 1 online resource (276 p.) |
Disciplina | 410/.2/1 |
Altri autori (Persone) | HoutRoeland van |
Soggetto topico |
Linguistics - Statistical methods
Analysis of variance |
ISBN | 3-11-087780-5 |
Classificazione | ER 760 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- 1. Language research and statistics -- 2. Basic statistical procedures: one sample -- 3. Basic statistical procedures: two samples -- 4. Principles of analysis of variance -- 5. Multifactorial designs -- 6. Additional tests and indices in analysis of variance -- 7. Violations of assumptions in factorial designs and unbalanced designs -- 8. Repeated measures designs -- 9. Alternative estimation procedures and missing data -- 10. Alternatives to analysis of variance -- References -- Appendices -- Index |
Record Nr. | UNINA-9910826841503321 |
Rietveld Toni <1949-> | ||
Berlin ; ; New York, : Mouton de Gruyter, c2005 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistics with confidence : confidence intervals and statistical guidelines / / Douglas Altman |
Autore | Altman Douglas |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Hoboken, : Wiley, 2013 |
Descrizione fisica | 1 online resource (254 pages) |
Disciplina |
362.102
610.727 |
Altri autori (Persone) |
MachinDavid
BryantTrevor GardnerMartin |
Soggetto topico |
Analysis of variance
Confidence intervals Statistics as topic -- Methods Statistics as Topic Confidence Intervals Epidemiologic Methods Health Care Evaluation Mechanisms Mathematics Quality of Health Care Investigative Techniques Natural Science Disciplines Public Health Health Care Quality, Access, and Evaluation Analytical, Diagnostic and Therapeutic Techniques and Equipment Environment and Public Health Disciplines and Occupations Health Care |
Soggetto genere / forma | Electronic books. |
ISBN |
1-118-70251-4
1-322-19630-3 0-7279-1375-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Contents; Contributors; Source of contents; Introduction; PART I ESTIMATION AND CONFIDENCE INTERVALS; 1 Estimating with confidence; 2 Confidence intervals in practice; 3 Confidence intervals rather than P values; 4 Means and their differences; 5 Medians and their differences; 6 Proportions and their differences; 7 Epidemiological studies; 8 Regression and correlation; 9 Time to event studies; 10 Diagnostic tests; 11 Clinical trials and meta-analyses; 12 Confidence intervals and sample sizes; 13 Special topics; PART II STATISTICAL GUIDELINES AND CHECKLISTS
14 Statistical guidelines for contributors to medical journals 15 Statistical checklists; PART III NOTATION, SOFTWARE, AND TABLES; 16 Notation; 17 Computer software for calculating confidence intervals (CIA); 18 Tables for the calculation of confidence intervals; Index |
Record Nr. | UNINA-9910463507503321 |
Altman Douglas | ||
Hoboken, : Wiley, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistics with confidence : confidence intervals and statistical guidelines / / Douglas Altman |
Autore | Altman Douglas G |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Hoboken, : Wiley, 2013 |
Descrizione fisica | 1 online resource (254 pages) |
Disciplina |
362.102
610.727 |
Altri autori (Persone) |
MachinDavid <1939->
BryantT. N GardnerM. J (Martin J.) |
Soggetto topico |
Analysis of variance
Confidence intervals Statistics as topic -- Methods Statistics as Topic Confidence Intervals Epidemiologic Methods Health Care Evaluation Mechanisms Mathematics Quality of Health Care Investigative Techniques Natural Science Disciplines Public Health Health Care Quality, Access, and Evaluation Environment and Public Health Health Care |
ISBN |
1-118-70250-6
1-118-70251-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Contents; Contributors; Source of contents; Introduction; PART I ESTIMATION AND CONFIDENCE INTERVALS; 1 Estimating with confidence; 2 Confidence intervals in practice; 3 Confidence intervals rather than P values; 4 Means and their differences; 5 Medians and their differences; 6 Proportions and their differences; 7 Epidemiological studies; 8 Regression and correlation; 9 Time to event studies; 10 Diagnostic tests; 11 Clinical trials and meta-analyses; 12 Confidence intervals and sample sizes; 13 Special topics; PART II STATISTICAL GUIDELINES AND CHECKLISTS
14 Statistical guidelines for contributors to medical journals 15 Statistical checklists; PART III NOTATION, SOFTWARE, AND TABLES; 16 Notation; 17 Computer software for calculating confidence intervals (CIA); 18 Tables for the calculation of confidence intervals; Index |
Record Nr. | UNINA-9910787933803321 |
Altman Douglas G | ||
Hoboken, : Wiley, 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The theory of exponential dispersion models and analysis of deviance / Bent Jorgensen |
Autore | Jorgensen, Bent |
Pubbl/distr/stampa | Rio de Janeiro : IMPA (Instituto de Matematica Pura e Aplicada), c1992 |
Descrizione fisica | 129 p. ; 23 cm. |
Disciplina | 519.536 |
Collana | Monografias de matematica ; 51 |
Soggetto topico |
Analysis of variance
Exponential dispersion models |
ISBN | 8524409676 |
Classificazione | AMS 62J10 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991001432399707536 |
Jorgensen, Bent | ||
Rio de Janeiro : IMPA (Instituto de Matematica Pura e Aplicada), c1992 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Two-way ANOVA |
Pubbl/distr/stampa | London, United Kingdom : , : SAGE Publications Ltd, , 2017 |
Descrizione fisica | 1 online resource (1 video file (12 min., 14 sec.)) : sound, colour |
Disciplina | 519.538 |
Collana | ANOVA |
Soggetto topico | Analysis of variance |
Soggetto genere / forma |
Nonfiction television programs.
Internet videos. |
ISBN | 1-4739-8562-5 |
Formato | Videoregistrazioni |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910728519603321 |
London, United Kingdom : , : SAGE Publications Ltd, , 2017 | ||
Videoregistrazioni | ||
Lo trovi qui: Univ. Federico II | ||
|
Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science / / Daniel J. Denis |
Autore | Denis Daniel J. <1974-> |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2020 |
Descrizione fisica | 1 online resource (287 pages) |
Disciplina | 519.53 |
Soggetto topico |
Analysis of variance
Multivariate analysis Mathematical statistics - Data processing R (Computer program language) Anàlisi de variància Anàlisi multivariable Estadística matemàtica Processament de dades |
Soggetto genere / forma | Llibres electrònics |
ISBN |
1-119-54991-4
1-119-54996-5 1-119-54995-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to applied statistics -- Introduction to R and computational statistics -- Exploring data with R : essential graphics and visualization -- Means, correlations, counts : drawing inferences using easy-to-implement statistical tests -- Power analysis and sample size estimation using R -- Analysis of variance : fixed effects, random effects, mixed models and repeated measures -- Simple and multiple linear regression -- Logistic regression and the generalized linear model -- Multivariate analysis of variance (MANOVA) and discriminant analysis -- Principal components analysis -- Exploratory factor analysis -- Cluster analysis -- Nonparametric tests. |
Record Nr. | UNINA-9910555025503321 |
Denis Daniel J. <1974-> | ||
Hoboken, New Jersey : , : Wiley, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Variance components [[electronic resource] /] / Shayle R. Searle, George Casella, Charles E. McCulloch |
Autore | Searle S. R (Shayle R.), <1928-> |
Pubbl/distr/stampa | New York, : Wiley, c1992 |
Descrizione fisica | 1 online resource (537 p.) |
Disciplina |
519.5
519.538 |
Altri autori (Persone) |
CasellaGeorge
McCullochCharles E |
Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics |
Soggetto topico |
Analysis of variance
Mathematical statistics |
ISBN |
1-282-30740-1
9786612307409 0-470-31685-3 0-470-31769-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Variance Components; CONTENTS; 1. Introduction; 1.1. Factors, levels, cells and effects; 1.2. Balanced and unbalanced data; a. Balanced data; b. Special cases of unbalanced data; -i. Planned unbalancedness; -ii. Estimating missing observations; c. Unbalanced data; 1.3. Fixed effects and random effects; a. Fixed effects models; Example 1 (Tomato varieties); Example 2 (Medications); Example 3 (Soils and, fertilizers); b. Random eflecrs models; Example 4 (Clinics); Example 5 (Dairy bulls); Example 6 (Ball bearings and calipers); c. Mixed models; Example 7 (Medications and clinics)
Example 8 ( Varieties and gardens)1.4. Fixed or random?; Example 9 (Mice and technicians); 1.5. Finite populations; 1.6. Summary; a. Characteristics of the fixed effects model and the random eflects model for the I-way classification; b. Examples; c. Fixed or random; 2. History and Comment; 2.1. Analysis of variance; 2.2. Early years: 1861-1949; a. Sources; b. Pre-1900; C. 1900-1939; -i. R. A. Fisher; -ii. L. C. Tippett; -iii. The late 1930s; -iv. Unbalanced data; d. The 1940s; 2.3. Great strides: 1950-1969; a. The Henderson methods; b. ANOVA estimation, in general; -i. Negative estimates -ii. Unhiasedness-iii. Best unbiasedness; -iv. Minimal sujicient statistics; -v. Lack of uniqueness; 2.4 Into the 1970s and beyond; a. Maximum likelihood (M L); b. Restricted maximum likelihood (REML); c. Minimum norm estimation; d. The dispersion-mean model; e. Bayes estimation; f: The recent decade; 3. The I-Way Classification; 3.1. The model; a. The model equation; b. First moments; c. Second moments; 3.2. Matrix formulation of the model; a. Example 1; b. The general case; c. Dispersion matrices; -i. The traditional random model; -ii. Other alternatives; d. Unbalanced data; -i. Example 2 -ii. The general case-iii. Dispersion matrix; 3.3 Estimating the mean; 3.4 Predicting random effects; 3.5 ANOVA estimation-balanced data; a. Expected sums of squares; -i. A direct derivation; -ii. Using the matrix formulation; b. ANOVA estimators; c. Negative estimates; d. Normality assumptions; -i. X2-distributions of sums of squares; -ii. Independence of sums of squares; -iii. Sampling variances of estimators; -iv. An F-statistic to test H:σ 2/a =0; -v. Confidence intervals; -vi. Probability of a negative estimate; -vii. Distribution of estimators; 3.6 ANOVA estimation-unbalanced data a. Expected sums of squares-i. A direct derivation; -ii. Using the matrix formulation; b. ANOVA estimators; c. Negative estimates; d. Normality assumptions; -i. X2-distributions of sums oj squares; -ii. Independence of sums of squares; -iii. Sampling variances of estimators; -iv. The eflect of unhalancedness on sampling variances; -v. F-statistics; -vi. Confidence intervals; 3.7. Maximum likelihood estimation; a. Balanced data; -i. Likelihood; -ii. M L equations and their solutions; -iii. ML estimators; -iv. Expected values and bias; -v. Sampling variances; b. Unbalanced data; -i. Likelihood -ii. ML equations and their solutions |
Record Nr. | UNINA-9910144695603321 |
Searle S. R (Shayle R.), <1928-> | ||
New York, : Wiley, c1992 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Variance components [[electronic resource] /] / Shayle R. Searle, George Casella, Charles E. McCulloch |
Autore | Searle S. R (Shayle R.), <1928-> |
Pubbl/distr/stampa | New York, : Wiley, c1992 |
Descrizione fisica | 1 online resource (537 p.) |
Disciplina |
519.5
519.538 |
Altri autori (Persone) |
CasellaGeorge
McCullochCharles E |
Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics |
Soggetto topico |
Analysis of variance
Mathematical statistics |
ISBN |
1-282-30740-1
9786612307409 0-470-31685-3 0-470-31769-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Variance Components; CONTENTS; 1. Introduction; 1.1. Factors, levels, cells and effects; 1.2. Balanced and unbalanced data; a. Balanced data; b. Special cases of unbalanced data; -i. Planned unbalancedness; -ii. Estimating missing observations; c. Unbalanced data; 1.3. Fixed effects and random effects; a. Fixed effects models; Example 1 (Tomato varieties); Example 2 (Medications); Example 3 (Soils and, fertilizers); b. Random eflecrs models; Example 4 (Clinics); Example 5 (Dairy bulls); Example 6 (Ball bearings and calipers); c. Mixed models; Example 7 (Medications and clinics)
Example 8 ( Varieties and gardens)1.4. Fixed or random?; Example 9 (Mice and technicians); 1.5. Finite populations; 1.6. Summary; a. Characteristics of the fixed effects model and the random eflects model for the I-way classification; b. Examples; c. Fixed or random; 2. History and Comment; 2.1. Analysis of variance; 2.2. Early years: 1861-1949; a. Sources; b. Pre-1900; C. 1900-1939; -i. R. A. Fisher; -ii. L. C. Tippett; -iii. The late 1930s; -iv. Unbalanced data; d. The 1940s; 2.3. Great strides: 1950-1969; a. The Henderson methods; b. ANOVA estimation, in general; -i. Negative estimates -ii. Unhiasedness-iii. Best unbiasedness; -iv. Minimal sujicient statistics; -v. Lack of uniqueness; 2.4 Into the 1970s and beyond; a. Maximum likelihood (M L); b. Restricted maximum likelihood (REML); c. Minimum norm estimation; d. The dispersion-mean model; e. Bayes estimation; f: The recent decade; 3. The I-Way Classification; 3.1. The model; a. The model equation; b. First moments; c. Second moments; 3.2. Matrix formulation of the model; a. Example 1; b. The general case; c. Dispersion matrices; -i. The traditional random model; -ii. Other alternatives; d. Unbalanced data; -i. Example 2 -ii. The general case-iii. Dispersion matrix; 3.3 Estimating the mean; 3.4 Predicting random effects; 3.5 ANOVA estimation-balanced data; a. Expected sums of squares; -i. A direct derivation; -ii. Using the matrix formulation; b. ANOVA estimators; c. Negative estimates; d. Normality assumptions; -i. X2-distributions of sums of squares; -ii. Independence of sums of squares; -iii. Sampling variances of estimators; -iv. An F-statistic to test H:σ 2/a =0; -v. Confidence intervals; -vi. Probability of a negative estimate; -vii. Distribution of estimators; 3.6 ANOVA estimation-unbalanced data a. Expected sums of squares-i. A direct derivation; -ii. Using the matrix formulation; b. ANOVA estimators; c. Negative estimates; d. Normality assumptions; -i. X2-distributions of sums oj squares; -ii. Independence of sums of squares; -iii. Sampling variances of estimators; -iv. The eflect of unhalancedness on sampling variances; -v. F-statistics; -vi. Confidence intervals; 3.7. Maximum likelihood estimation; a. Balanced data; -i. Likelihood; -ii. M L equations and their solutions; -iii. ML estimators; -iv. Expected values and bias; -v. Sampling variances; b. Unbalanced data; -i. Likelihood -ii. ML equations and their solutions |
Record Nr. | UNINA-9910830159603321 |
Searle S. R (Shayle R.), <1928-> | ||
New York, : Wiley, c1992 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Variance components / / Shayle R. Searle, George Casella, Charles E. McCulloch |
Autore | Searle S. R (Shayle R.), <1928-> |
Pubbl/distr/stampa | New York, : Wiley, c1992 |
Descrizione fisica | 1 online resource (537 p.) |
Disciplina |
519.5
519.538 |
Altri autori (Persone) |
CasellaGeorge
McCullochCharles E |
Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics |
Soggetto topico |
Analysis of variance
Mathematical statistics |
ISBN |
1-282-30740-1
9786612307409 0-470-31685-3 0-470-31769-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Variance Components; CONTENTS; 1. Introduction; 1.1. Factors, levels, cells and effects; 1.2. Balanced and unbalanced data; a. Balanced data; b. Special cases of unbalanced data; -i. Planned unbalancedness; -ii. Estimating missing observations; c. Unbalanced data; 1.3. Fixed effects and random effects; a. Fixed effects models; Example 1 (Tomato varieties); Example 2 (Medications); Example 3 (Soils and, fertilizers); b. Random eflecrs models; Example 4 (Clinics); Example 5 (Dairy bulls); Example 6 (Ball bearings and calipers); c. Mixed models; Example 7 (Medications and clinics)
Example 8 ( Varieties and gardens)1.4. Fixed or random?; Example 9 (Mice and technicians); 1.5. Finite populations; 1.6. Summary; a. Characteristics of the fixed effects model and the random eflects model for the I-way classification; b. Examples; c. Fixed or random; 2. History and Comment; 2.1. Analysis of variance; 2.2. Early years: 1861-1949; a. Sources; b. Pre-1900; C. 1900-1939; -i. R. A. Fisher; -ii. L. C. Tippett; -iii. The late 1930s; -iv. Unbalanced data; d. The 1940s; 2.3. Great strides: 1950-1969; a. The Henderson methods; b. ANOVA estimation, in general; -i. Negative estimates -ii. Unhiasedness-iii. Best unbiasedness; -iv. Minimal sujicient statistics; -v. Lack of uniqueness; 2.4 Into the 1970s and beyond; a. Maximum likelihood (M L); b. Restricted maximum likelihood (REML); c. Minimum norm estimation; d. The dispersion-mean model; e. Bayes estimation; f: The recent decade; 3. The I-Way Classification; 3.1. The model; a. The model equation; b. First moments; c. Second moments; 3.2. Matrix formulation of the model; a. Example 1; b. The general case; c. Dispersion matrices; -i. The traditional random model; -ii. Other alternatives; d. Unbalanced data; -i. Example 2 -ii. The general case-iii. Dispersion matrix; 3.3 Estimating the mean; 3.4 Predicting random effects; 3.5 ANOVA estimation-balanced data; a. Expected sums of squares; -i. A direct derivation; -ii. Using the matrix formulation; b. ANOVA estimators; c. Negative estimates; d. Normality assumptions; -i. X2-distributions of sums of squares; -ii. Independence of sums of squares; -iii. Sampling variances of estimators; -iv. An F-statistic to test H:σ 2/a =0; -v. Confidence intervals; -vi. Probability of a negative estimate; -vii. Distribution of estimators; 3.6 ANOVA estimation-unbalanced data a. Expected sums of squares-i. A direct derivation; -ii. Using the matrix formulation; b. ANOVA estimators; c. Negative estimates; d. Normality assumptions; -i. X2-distributions of sums oj squares; -ii. Independence of sums of squares; -iii. Sampling variances of estimators; -iv. The eflect of unhalancedness on sampling variances; -v. F-statistics; -vi. Confidence intervals; 3.7. Maximum likelihood estimation; a. Balanced data; -i. Likelihood; -ii. M L equations and their solutions; -iii. ML estimators; -iv. Expected values and bias; -v. Sampling variances; b. Unbalanced data; -i. Likelihood -ii. ML equations and their solutions |
Record Nr. | UNINA-9910876732403321 |
Searle S. R (Shayle R.), <1928-> | ||
New York, : Wiley, c1992 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|