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Modern Engineering Statistics [[electronic resource]]
| Modern Engineering Statistics [[electronic resource]] |
| Autore | Ryan Thomas P |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2007 |
| Descrizione fisica | 1 online resource (608 p.) |
| Disciplina |
519.5
620.0072 |
| Soggetto topico |
Engineering - Statistical methods
Engineering Engineering & Applied Sciences Applied Mathematics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-09412-9
9786611094126 0-470-12844-5 0-470-12843-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Engineering Statistics; Contents; Preface; 1. Methods of Collecting and Presenting Data; 1.1 Observational Data and Data from Designed Experiments; 1.2 Populations and Samples; 1.3 Variables; 1.4 Methods of Displaying Small Data Sets; 1.4.1 Stem-and-Leaf Display; 1.4.2 Time Sequence Plot and Control Chart; 1.4.3 Lag Plot; 1.4.4 Scatter Plot; 1.4.5 Digidot Plot; 1.4.6 Dotplot; 1.5 Methods of Displaying Large Data Sets; 1.5.1 Histogram; 1.5.2 Boxplot; 1.6 Outliers; 1.7 Other Methods; 1.8 Extremely Large Data Sets: Data Mining; 1.9 Graphical Methods: Recommendations; 1.10 Summary
ReferencesExercises; 2. Measures of Location and Dispersion; 2.1 Estimating Location Parameters; 2.2 Estimating Dispersion Parameters; 2.3 Estimating Parameters from Grouped Data; 2.4 Estimates from a Boxplot; 2.5 Computing Sample Statistics with MINITAB; 2.6 Summary; Reference; Exercises; 3. Probability and Common Probability Distributions; 3.1 Probability: From the Ethereal to the Concrete; 3.1.1 Manufacturing Applications; 3.2 Probability Concepts and Rules; 3.2.1 Extension to Multiple Events; 3.2.1.1 Law of Total Probability and Bayes' Theorem; 3.3 Common Discrete Distributions 3.3.1 Expected Value and Variance3.3.2 Binomial Distribution; 3.3.2.1 Testing for the Appropriateness of the Binomial Model; 3.3.3 Hypergeometric Distribution; 3.3.4 Poisson Distribution; 3.3.4.1 Testing for the Appropriateness of the Poisson Model; 3.3.5 Geometric Distribution; 3.4 Common Continuous Distributions; 3.4.1 Expected Value and Variance; 3.4.2 Determining Probabilities for Continuous Random Variables; 3.4.3 Normal Distribution; 3.4.3.1 Software-Aided Normal Probability Computations; 3.4.3.2 Testing the Normality Assumption; 3.4.4 t-Distribution; 3.4.5 Gamma Distribution 3.4.5.1 Chi-Square Distribution3.4.5.2 Exponential Distribution; 3.4.6 Weibull Distribution; 3.4.7 Smallest Extreme Value Distribution; 3.4.8 Lognormal Distribution; 3.4.9 F Distribution; 3.5 General Distribution Fitting; 3.6 How to Select a Distribution; 3.7 Summary; References; Exercises; 4. Point Estimation; 4.1 Point Estimators and Point Estimates; 4.2 Desirable Properties of Point Estimators; 4.2.1 Unbiasedness and Consistency; 4.2.2 Minimum Variance; 4.2.3 Estimators Whose Properties Depend on the Assumed Distribution; 4.2.4 Comparing Biased and Unbiased Estimators 4.3 Distributions of Sampling Statistics4.3.1 Central Limit Theorem; 4.3.1.1 Illustration of Central Limit Theorem; 4.3.2 Statistics with Nonnormal Sampling Distributions; 4.4 Methods of Obtaining Estimators; 4.4.1 Method of Maximum Likelihood; 4.4.2 Method of Moments; 4.4.3 Method of Least Squares; 4.5 Estimating σ; 4.6 Estimating Parameters Without Data; 4.7 Summary; References; Exercises; 5. Confidence Intervals and Hypothesis Tests-One Sample; 5.1 Confidence Interval for μ: Normal Distribution, σ Not Estimated from Sample Data; 5.1.1 Sample Size Determination; 5.1.2 Interpretation and Use 5.1.3 General Form of Confidence Intervals |
| Record Nr. | UNINA-9910144722203321 |
Ryan Thomas P
|
||
| Hoboken, : Wiley, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern Engineering Statistics [[electronic resource]]
| Modern Engineering Statistics [[electronic resource]] |
| Autore | Ryan Thomas P |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2007 |
| Descrizione fisica | 1 online resource (608 p.) |
| Disciplina |
519.5
620.0072 |
| Soggetto topico |
Engineering - Statistical methods
Engineering Engineering & Applied Sciences Applied Mathematics |
| ISBN |
1-281-09412-9
9786611094126 0-470-12844-5 0-470-12843-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Engineering Statistics; Contents; Preface; 1. Methods of Collecting and Presenting Data; 1.1 Observational Data and Data from Designed Experiments; 1.2 Populations and Samples; 1.3 Variables; 1.4 Methods of Displaying Small Data Sets; 1.4.1 Stem-and-Leaf Display; 1.4.2 Time Sequence Plot and Control Chart; 1.4.3 Lag Plot; 1.4.4 Scatter Plot; 1.4.5 Digidot Plot; 1.4.6 Dotplot; 1.5 Methods of Displaying Large Data Sets; 1.5.1 Histogram; 1.5.2 Boxplot; 1.6 Outliers; 1.7 Other Methods; 1.8 Extremely Large Data Sets: Data Mining; 1.9 Graphical Methods: Recommendations; 1.10 Summary
ReferencesExercises; 2. Measures of Location and Dispersion; 2.1 Estimating Location Parameters; 2.2 Estimating Dispersion Parameters; 2.3 Estimating Parameters from Grouped Data; 2.4 Estimates from a Boxplot; 2.5 Computing Sample Statistics with MINITAB; 2.6 Summary; Reference; Exercises; 3. Probability and Common Probability Distributions; 3.1 Probability: From the Ethereal to the Concrete; 3.1.1 Manufacturing Applications; 3.2 Probability Concepts and Rules; 3.2.1 Extension to Multiple Events; 3.2.1.1 Law of Total Probability and Bayes' Theorem; 3.3 Common Discrete Distributions 3.3.1 Expected Value and Variance3.3.2 Binomial Distribution; 3.3.2.1 Testing for the Appropriateness of the Binomial Model; 3.3.3 Hypergeometric Distribution; 3.3.4 Poisson Distribution; 3.3.4.1 Testing for the Appropriateness of the Poisson Model; 3.3.5 Geometric Distribution; 3.4 Common Continuous Distributions; 3.4.1 Expected Value and Variance; 3.4.2 Determining Probabilities for Continuous Random Variables; 3.4.3 Normal Distribution; 3.4.3.1 Software-Aided Normal Probability Computations; 3.4.3.2 Testing the Normality Assumption; 3.4.4 t-Distribution; 3.4.5 Gamma Distribution 3.4.5.1 Chi-Square Distribution3.4.5.2 Exponential Distribution; 3.4.6 Weibull Distribution; 3.4.7 Smallest Extreme Value Distribution; 3.4.8 Lognormal Distribution; 3.4.9 F Distribution; 3.5 General Distribution Fitting; 3.6 How to Select a Distribution; 3.7 Summary; References; Exercises; 4. Point Estimation; 4.1 Point Estimators and Point Estimates; 4.2 Desirable Properties of Point Estimators; 4.2.1 Unbiasedness and Consistency; 4.2.2 Minimum Variance; 4.2.3 Estimators Whose Properties Depend on the Assumed Distribution; 4.2.4 Comparing Biased and Unbiased Estimators 4.3 Distributions of Sampling Statistics4.3.1 Central Limit Theorem; 4.3.1.1 Illustration of Central Limit Theorem; 4.3.2 Statistics with Nonnormal Sampling Distributions; 4.4 Methods of Obtaining Estimators; 4.4.1 Method of Maximum Likelihood; 4.4.2 Method of Moments; 4.4.3 Method of Least Squares; 4.5 Estimating σ; 4.6 Estimating Parameters Without Data; 4.7 Summary; References; Exercises; 5. Confidence Intervals and Hypothesis Tests-One Sample; 5.1 Confidence Interval for μ: Normal Distribution, σ Not Estimated from Sample Data; 5.1.1 Sample Size Determination; 5.1.2 Interpretation and Use 5.1.3 General Form of Confidence Intervals |
| Record Nr. | UNINA-9910830382903321 |
|
Ryan Thomas P
|
||
| Hoboken, : Wiley, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solutions manual to accompany Modern engineering statistics [[electronic resource] /] / Thomas P. Ryan
| Solutions manual to accompany Modern engineering statistics [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2007 |
| Descrizione fisica | 1 online resource (188 p.) |
| Disciplina |
519.5
620.0072 |
| Altri autori (Persone) | RyanThomas P |
| Soggetto topico |
Engineering - Statistical methods
Quality control - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-44599-9
9786613445995 0-470-18754-9 0-470-18753-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Solutions Manual to Accompany: Modern Engineering Statistics; Contents; 1 Methods of Collecting and Presenting Data; 2 Measures of Location and Dispersion; 3 Probability and Common Probability Distributions; 4 Point Estimation; 5 Confidence Intervals and Hypothesis Tests-One Sample; 6 Confidence Intervals and Hypothesis Tests-Two Samples; 7 Tolerance Intervals and Prediction Intervals; 8 Simple Linear Regression, Correlation and Calibration; 9 Multiple Regression; 10 Mechanistic Models; 11 Control Charts and Quality Improvement; 12 Design and Analysis of Experiments
13 Measurement System Appraisal14 Reliability Analysis and Life Testing; 15 Analysis of Categorical Data; 16 Distribution-Free Procedures; 17 Tying It All Together |
| Record Nr. | UNINA-9910139716303321 |
|
Ryan Thomas P
|
||
| Hoboken, N.J., : Wiley-Interscience, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solutions manual to accompany Modern engineering statistics [[electronic resource] /] / Thomas P. Ryan
| Solutions manual to accompany Modern engineering statistics [[electronic resource] /] / Thomas P. Ryan |
| Autore | Ryan Thomas P |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2007 |
| Descrizione fisica | 1 online resource (188 p.) |
| Disciplina |
519.5
620.0072 |
| Altri autori (Persone) | RyanThomas P |
| Soggetto topico |
Engineering - Statistical methods
Quality control - Statistical methods |
| ISBN |
1-283-44599-9
9786613445995 0-470-18754-9 0-470-18753-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Solutions Manual to Accompany: Modern Engineering Statistics; Contents; 1 Methods of Collecting and Presenting Data; 2 Measures of Location and Dispersion; 3 Probability and Common Probability Distributions; 4 Point Estimation; 5 Confidence Intervals and Hypothesis Tests-One Sample; 6 Confidence Intervals and Hypothesis Tests-Two Samples; 7 Tolerance Intervals and Prediction Intervals; 8 Simple Linear Regression, Correlation and Calibration; 9 Multiple Regression; 10 Mechanistic Models; 11 Control Charts and Quality Improvement; 12 Design and Analysis of Experiments
13 Measurement System Appraisal14 Reliability Analysis and Life Testing; 15 Analysis of Categorical Data; 16 Distribution-Free Procedures; 17 Tying It All Together |
| Record Nr. | UNINA-9910830136803321 |
|
Ryan Thomas P
|
||
| Hoboken, N.J., : Wiley-Interscience, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solutions manual to accompany Modern engineering statistics / / Thomas P. Ryan
| Solutions manual to accompany Modern engineering statistics / / Thomas P. Ryan |
| Autore | Ryan Thomas P |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, 2007 |
| Descrizione fisica | 1 online resource (188 p.) |
| Disciplina |
519.5
620.0072 |
| Altri autori (Persone) | RyanThomas P |
| Soggetto topico |
Engineering - Statistical methods
Quality control - Statistical methods |
| ISBN |
1-283-44599-9
9786613445995 0-470-18754-9 0-470-18753-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Solutions Manual to Accompany: Modern Engineering Statistics; Contents; 1 Methods of Collecting and Presenting Data; 2 Measures of Location and Dispersion; 3 Probability and Common Probability Distributions; 4 Point Estimation; 5 Confidence Intervals and Hypothesis Tests-One Sample; 6 Confidence Intervals and Hypothesis Tests-Two Samples; 7 Tolerance Intervals and Prediction Intervals; 8 Simple Linear Regression, Correlation and Calibration; 9 Multiple Regression; 10 Mechanistic Models; 11 Control Charts and Quality Improvement; 12 Design and Analysis of Experiments
13 Measurement System Appraisal14 Reliability Analysis and Life Testing; 15 Analysis of Categorical Data; 16 Distribution-Free Procedures; 17 Tying It All Together |
| Record Nr. | UNINA-9910876854203321 |
|
Ryan Thomas P
|
||
| Hoboken, N.J., : Wiley-Interscience, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||