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Statistics for experimenters : an introduction to design, data analysis, and model building / George E. P. Box, William G. Hunter, J. Stuart Hunter
| Statistics for experimenters : an introduction to design, data analysis, and model building / George E. P. Box, William G. Hunter, J. Stuart Hunter |
| Autore | BOX, George E. P. |
| Pubbl/distr/stampa | New York [etc.] : John Wiley & Sons, copyr. 1978 |
| Descrizione fisica | XVIII, 653 p. : graf., tab. ; 24 cm |
| Disciplina | 519.538 |
| Collana | Wiley series in probability and mathematical statistics, Applied probability and statistics |
| Soggetto topico |
Varianza Statistica matematica |
| ISBN | 0-471-09315-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990000131870203316 |
BOX, George E. P.
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| New York [etc.] : John Wiley & Sons, copyr. 1978 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Statistics for experimenters : an introduction to design, data analysis, and model building / George P. Box, William G. Hunter, J. Stuart Hunter
| Statistics for experimenters : an introduction to design, data analysis, and model building / George P. Box, William G. Hunter, J. Stuart Hunter |
| Autore | Box, George E. P |
| Pubbl/distr/stampa | New York : Wiley, c1978 |
| Descrizione fisica | xviii, 658 p. ; 23 cm |
| Disciplina | 519.538 |
| Altri autori (Persone) | Hunter, Stuart J |
| Collana | Wiley series in probability and mathematical statistics |
| Soggetto topico | Statistica - Schema sperimentale |
| ISBN | 0471093157 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000747439707536 |
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Box, George E. P
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| New York : Wiley, c1978 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Studies on the optimal search plan / Koji Iida
| Studies on the optimal search plan / Koji Iida |
| Autore | Iida, Koji |
| Pubbl/distr/stampa | Berlin [etc.] : Springer, c1992 |
| Descrizione fisica | VIII, 130 p. ; 25 cm. |
| Disciplina | 519.538 |
| Collana | Lecture notes in statistics |
| Soggetto topico | Ricerca operativa |
| ISBN | 3-540-97739-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNIBAS-000016292 |
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Iida, Koji
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| Berlin [etc.] : Springer, c1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. della Basilicata | ||
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Tavole della distribuzione esatta della variabile casuale X2 / Giuseppe De Bartolo
| Tavole della distribuzione esatta della variabile casuale X2 / Giuseppe De Bartolo |
| Autore | DE BARTOLO, Giuseppe |
| Pubbl/distr/stampa | Cosenza : Tipografia S. Chiappetta, [1974?] |
| Descrizione fisica | 56 p. ; 33 cm |
| Disciplina | 519.538(Analisi della varianza e della covarianza) |
| Soggetto topico | Distribuzione - Metodi statistici |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990005540680203316 |
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DE BARTOLO, Giuseppe
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| Cosenza : Tipografia S. Chiappetta, [1974?] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The analysis of variance / Henry Scheffé
| The analysis of variance / Henry Scheffé |
| Autore | Scheffé, Henry |
| Pubbl/distr/stampa | New York [etc.] : John Wiley, 1959 |
| Descrizione fisica | xvi, 477 p. ; 24 cm |
| Disciplina |
519.538
519 |
| Collana | Wiley publications in mathematical statistics |
| Soggetto non controllato |
Probabilità
Statistica Statistica - Teoria generale Statistica - Analisi della varianza Regressione - Modello lineare |
| ISBN | 0-471-75834-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990001057470403321 |
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Scheffé, Henry
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| New York [etc.] : John Wiley, 1959 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Two-way ANOVA
| 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 | ||
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Variance components / Shayle R. Searle, George Casella, Charles E. McCulloch
| Variance components / Shayle R. Searle, George Casella, Charles E. McCulloch |
| Autore | SEARLE, Shayle R. |
| Pubbl/distr/stampa | New York : Wiley, 2006 |
| Descrizione fisica | XXIII, 501 p. ; 23 cm |
| Disciplina | 519.538(Analisi della varianza e della covarianza) |
| Altri autori (Persone) |
CASELLA, George
MCCULLOCH, Charles E. |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | ANALISI DELLA VARIANZA E COVARIANZA |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990005547180203316 |
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SEARLE, Shayle R.
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| New York : Wiley, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Variance components [[electronic resource] /] / Shayle R. Searle, George Casella, Charles E. McCulloch
| 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
| 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 [[electronic resource] /] / Shayle R. Searle, George Casella, Charles E. McCulloch
| 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-9910841893103321 |
|
Searle S. R (Shayle R.), <1928->
|
||
| New York, : Wiley, c1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
