Introduction to probability and statistics for engineers and scientists:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier/Academic Press
c2004
|
| Ausgabe: | 3rd ed |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes index Cover -- Contents -- Preface -- CHAPTER 1 INTRODUCTION TO STATISTICS -- 1.1 INTRODUCTION -- 1.2 DATA COLLECTION AND DESCRIPTIVE STATISTICS -- 1.3 INFERENTIAL STATISTICS AND PROBABILITY MODELS -- 1.4 POPULATIONS AND SAMPLES -- 1.5 A BRIEF HISTORY OF STATISTICS -- CHAPTER 2 DESCRIPTIVE STATISTICS -- 2.1 INTRODUCTION -- 2.2 DESCRIBING DATA SETS -- 2.2.1 Frequency Tables and Graphs -- 2.2.2 Relative Frequency Tables and Graphs -- 2.2.3 Grouped Data, Histograms, Ogives, and Stem and Leaf Plots -- 2.3 SUMMARIZING DATA SETS -- 2.3.1 Sample Mean, Sample Median, and Sample Mode -- 2.3.2 Sample Variance and Sample Standard Deviation -- 2.3.3 Sample Percentiles and Box Plots -- 2.4 CHEBYSHEV'S INEQUALITY -- 2.5 NORMAL DATA SETS -- 2.6 PAIRED DATA SETS AND THE SAMPLE CORRELATION COEFFICIENT -- CHAPTER 3 ELEMENTS OF PROBABILITY -- 3.1 INTRODUCTION -- 3.2 SAMPLE SPACE AND EVENTS -- 3.3 VENN DIAGRAMS AND THE ALGEBRA OF EVENTS -- 3.4 AXIOMS OF PROBABILITY -- - 3.5 SAMPLE SPACES HAVING EQUALLY LIKELY OUTCOMES -- 3.6 CONDITIONAL PROBABILITY -- 3.7 BAYES' FORMULA -- 3.8 INDEPENDENT EVENTS -- CHAPTER 4 RANDOM VARIABLES AND EXPECTATION -- 4.1 RANDOM VARIABLES -- 4.2 TYPES OF RANDOM VARIABLES -- 4.3 JOINTLY DISTRIBUTED RANDOM VARIABLES -- 4.3.1 Independent Random Variables -- *4.3.2 Conditional Distributions -- 4.4 EXPECTATION -- 4.5 PROPERTIES OF THE EXPECTED VALUE -- 4.5.1 Expected Value of Sums of Random Variables -- 4.6 VARIANCE -- 4.7 COVARIANCE AND VARIANCE OF SUMS OF RANDOM VARIABLES -- 4.8 MOMENT GENERATING FUNCTIONS -- 4.9 CHEBYSHEV'S INEQUALITY AND THE WEAK LAW OF LARGE NUMBERS -- CHAPTER 5 SPECIAL RANDOM VARIABLES -- 5.1 THE BERNOULLI AND BINOMIAL RANDOM VARIABLES -- 5.1.1 Computing the Binomial Distribution Function -- 5.2 THE POISSON RANDOM VARIABLE -- 5.2.1 Computing the Poisson Distribution Function -- 5.3 THE HYPERGEOMETRIC RANDOM VARIABLE -- 5.4 THE UNIFORM RANDOM VARIABLE -- 5.5 NORMAL RANDOM VARIABLES -- - 5.6 EXPONENTIAL RANDOM VARIABLES -- *5.6.1 The Poisson Process -- *5.7 THE GAMMA DISTRIBUTION -- 5.8 DISTRIBUTIONS ARISING FROM THE NORMAL -- 5.8.1 The Chi-Square Distribution -- 5.8.2 The t-Distribution -- 5.8.3 The F-Distribution -- *5.9 THE LOGISTICS DISTRIBUTION -- CHAPTER 6 DISTRIBUTIONS OF SAMPLING STATISTICS -- 6.1 INTRODUCTION -- 6.2 THE SAMPLE MEAN -- 6.3 THE CENTRAL LIMIT THEOREM -- 6.3.1 Approximate Distribution of the Sample Mean -- 6.3.2 How Large a Sample Is Needed? -- 6.4 THE SAMPLE VARIANCE -- 6.5 SAMPLING DISTRIBUTIONS FROM A NORMAL POPULATION -- 6.5.1 Distribution of the Sample Mean -- 6.5.2 Joint Distribution of X and S2 -- 6.6 SAMPLING FROM A FINITE POPULATION -- CHAPTER 7 PARAMETER ESTIMATION -- 7.1 INTRODUCTION -- 7.2 MAXIMUM LIKELIHOOD ESTIMATORS -- *7.2.1 Estimating Life Distributions -- 7.3 INTERVAL ESTIMATES -- 7.3.1 Confidence Interval for a Normal Mean When the Variance is Unknown -- 7.3.2 Confidence Intervals for the Variance of a Normal Distribution -- - 7.4 ESTIMATING THE. |
| Beschreibung: | 1 Online-Ressource (xv, 624 p.) |
| ISBN: | 0080470319 0125980574 9780080470313 |
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| 245 | 1 | 0 | |a Introduction to probability and statistics for engineers and scientists |c Sheldon M. Ross |
| 250 | |a 3rd ed | ||
| 264 | 1 | |a Amsterdam |b Elsevier/Academic Press |c c2004 | |
| 300 | |a 1 Online-Ressource (xv, 624 p.) | ||
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| 500 | |a Includes index | ||
| 500 | |a Cover -- Contents -- Preface -- CHAPTER 1 INTRODUCTION TO STATISTICS -- 1.1 INTRODUCTION -- 1.2 DATA COLLECTION AND DESCRIPTIVE STATISTICS -- 1.3 INFERENTIAL STATISTICS AND PROBABILITY MODELS -- 1.4 POPULATIONS AND SAMPLES -- 1.5 A BRIEF HISTORY OF STATISTICS -- CHAPTER 2 DESCRIPTIVE STATISTICS -- 2.1 INTRODUCTION -- 2.2 DESCRIBING DATA SETS -- 2.2.1 Frequency Tables and Graphs -- 2.2.2 Relative Frequency Tables and Graphs -- 2.2.3 Grouped Data, Histograms, Ogives, and Stem and Leaf Plots -- 2.3 SUMMARIZING DATA SETS -- 2.3.1 Sample Mean, Sample Median, and Sample Mode -- 2.3.2 Sample Variance and Sample Standard Deviation -- 2.3.3 Sample Percentiles and Box Plots -- 2.4 CHEBYSHEV'S INEQUALITY -- 2.5 NORMAL DATA SETS -- 2.6 PAIRED DATA SETS AND THE SAMPLE CORRELATION COEFFICIENT -- CHAPTER 3 ELEMENTS OF PROBABILITY -- 3.1 INTRODUCTION -- 3.2 SAMPLE SPACE AND EVENTS -- 3.3 VENN DIAGRAMS AND THE ALGEBRA OF EVENTS -- 3.4 AXIOMS OF PROBABILITY -- | ||
| 500 | |a - 3.5 SAMPLE SPACES HAVING EQUALLY LIKELY OUTCOMES -- 3.6 CONDITIONAL PROBABILITY -- 3.7 BAYES' FORMULA -- 3.8 INDEPENDENT EVENTS -- CHAPTER 4 RANDOM VARIABLES AND EXPECTATION -- 4.1 RANDOM VARIABLES -- 4.2 TYPES OF RANDOM VARIABLES -- 4.3 JOINTLY DISTRIBUTED RANDOM VARIABLES -- 4.3.1 Independent Random Variables -- *4.3.2 Conditional Distributions -- 4.4 EXPECTATION -- 4.5 PROPERTIES OF THE EXPECTED VALUE -- 4.5.1 Expected Value of Sums of Random Variables -- 4.6 VARIANCE -- 4.7 COVARIANCE AND VARIANCE OF SUMS OF RANDOM VARIABLES -- 4.8 MOMENT GENERATING FUNCTIONS -- 4.9 CHEBYSHEV'S INEQUALITY AND THE WEAK LAW OF LARGE NUMBERS -- CHAPTER 5 SPECIAL RANDOM VARIABLES -- 5.1 THE BERNOULLI AND BINOMIAL RANDOM VARIABLES -- 5.1.1 Computing the Binomial Distribution Function -- 5.2 THE POISSON RANDOM VARIABLE -- 5.2.1 Computing the Poisson Distribution Function -- 5.3 THE HYPERGEOMETRIC RANDOM VARIABLE -- 5.4 THE UNIFORM RANDOM VARIABLE -- 5.5 NORMAL RANDOM VARIABLES -- | ||
| 500 | |a - 5.6 EXPONENTIAL RANDOM VARIABLES -- *5.6.1 The Poisson Process -- *5.7 THE GAMMA DISTRIBUTION -- 5.8 DISTRIBUTIONS ARISING FROM THE NORMAL -- 5.8.1 The Chi-Square Distribution -- 5.8.2 The t-Distribution -- 5.8.3 The F-Distribution -- *5.9 THE LOGISTICS DISTRIBUTION -- CHAPTER 6 DISTRIBUTIONS OF SAMPLING STATISTICS -- 6.1 INTRODUCTION -- 6.2 THE SAMPLE MEAN -- 6.3 THE CENTRAL LIMIT THEOREM -- 6.3.1 Approximate Distribution of the Sample Mean -- 6.3.2 How Large a Sample Is Needed? -- 6.4 THE SAMPLE VARIANCE -- 6.5 SAMPLING DISTRIBUTIONS FROM A NORMAL POPULATION -- 6.5.1 Distribution of the Sample Mean -- 6.5.2 Joint Distribution of X and S2 -- 6.6 SAMPLING FROM A FINITE POPULATION -- CHAPTER 7 PARAMETER ESTIMATION -- 7.1 INTRODUCTION -- 7.2 MAXIMUM LIKELIHOOD ESTIMATORS -- *7.2.1 Estimating Life Distributions -- 7.3 INTERVAL ESTIMATES -- 7.3.1 Confidence Interval for a Normal Mean When the Variance is Unknown -- 7.3.2 Confidence Intervals for the Variance of a Normal Distribution -- | ||
| 500 | |a - 7.4 ESTIMATING THE. | ||
| 650 | 4 | |a Probabilités | |
| 650 | 4 | |a Statistique mathématique | |
| 650 | 4 | |a Ingénierie / Méthodes statistiques | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 7 | |a Mathematical statistics |2 fast | |
| 650 | 7 | |a Probabilities |2 fast | |
| 650 | 4 | |a Probabilities | |
| 650 | 4 | |a Mathematical statistics | |
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Datensatz im Suchindex
| _version_ | 1804175443068190720 |
|---|---|
| any_adam_object | |
| author | Ross, Sheldon M. |
| author_facet | Ross, Sheldon M. |
| author_role | aut |
| author_sort | Ross, Sheldon M. |
| author_variant | s m r sm smr |
| building | Verbundindex |
| bvnumber | BV043064917 |
| collection | ZDB-4-EBA |
| ctrlnum | (OCoLC)123752914 (DE-599)BVBBV043064917 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | 3rd ed |
| format | Electronic eBook |
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| publisher | Elsevier/Academic Press |
| record_format | marc |
| spelling | Ross, Sheldon M. Verfasser aut Introduction to probability and statistics for engineers and scientists Sheldon M. Ross 3rd ed Amsterdam Elsevier/Academic Press c2004 1 Online-Ressource (xv, 624 p.) txt rdacontent c rdamedia cr rdacarrier Includes index Cover -- Contents -- Preface -- CHAPTER 1 INTRODUCTION TO STATISTICS -- 1.1 INTRODUCTION -- 1.2 DATA COLLECTION AND DESCRIPTIVE STATISTICS -- 1.3 INFERENTIAL STATISTICS AND PROBABILITY MODELS -- 1.4 POPULATIONS AND SAMPLES -- 1.5 A BRIEF HISTORY OF STATISTICS -- CHAPTER 2 DESCRIPTIVE STATISTICS -- 2.1 INTRODUCTION -- 2.2 DESCRIBING DATA SETS -- 2.2.1 Frequency Tables and Graphs -- 2.2.2 Relative Frequency Tables and Graphs -- 2.2.3 Grouped Data, Histograms, Ogives, and Stem and Leaf Plots -- 2.3 SUMMARIZING DATA SETS -- 2.3.1 Sample Mean, Sample Median, and Sample Mode -- 2.3.2 Sample Variance and Sample Standard Deviation -- 2.3.3 Sample Percentiles and Box Plots -- 2.4 CHEBYSHEV'S INEQUALITY -- 2.5 NORMAL DATA SETS -- 2.6 PAIRED DATA SETS AND THE SAMPLE CORRELATION COEFFICIENT -- CHAPTER 3 ELEMENTS OF PROBABILITY -- 3.1 INTRODUCTION -- 3.2 SAMPLE SPACE AND EVENTS -- 3.3 VENN DIAGRAMS AND THE ALGEBRA OF EVENTS -- 3.4 AXIOMS OF PROBABILITY -- - 3.5 SAMPLE SPACES HAVING EQUALLY LIKELY OUTCOMES -- 3.6 CONDITIONAL PROBABILITY -- 3.7 BAYES' FORMULA -- 3.8 INDEPENDENT EVENTS -- CHAPTER 4 RANDOM VARIABLES AND EXPECTATION -- 4.1 RANDOM VARIABLES -- 4.2 TYPES OF RANDOM VARIABLES -- 4.3 JOINTLY DISTRIBUTED RANDOM VARIABLES -- 4.3.1 Independent Random Variables -- *4.3.2 Conditional Distributions -- 4.4 EXPECTATION -- 4.5 PROPERTIES OF THE EXPECTED VALUE -- 4.5.1 Expected Value of Sums of Random Variables -- 4.6 VARIANCE -- 4.7 COVARIANCE AND VARIANCE OF SUMS OF RANDOM VARIABLES -- 4.8 MOMENT GENERATING FUNCTIONS -- 4.9 CHEBYSHEV'S INEQUALITY AND THE WEAK LAW OF LARGE NUMBERS -- CHAPTER 5 SPECIAL RANDOM VARIABLES -- 5.1 THE BERNOULLI AND BINOMIAL RANDOM VARIABLES -- 5.1.1 Computing the Binomial Distribution Function -- 5.2 THE POISSON RANDOM VARIABLE -- 5.2.1 Computing the Poisson Distribution Function -- 5.3 THE HYPERGEOMETRIC RANDOM VARIABLE -- 5.4 THE UNIFORM RANDOM VARIABLE -- 5.5 NORMAL RANDOM VARIABLES -- - 5.6 EXPONENTIAL RANDOM VARIABLES -- *5.6.1 The Poisson Process -- *5.7 THE GAMMA DISTRIBUTION -- 5.8 DISTRIBUTIONS ARISING FROM THE NORMAL -- 5.8.1 The Chi-Square Distribution -- 5.8.2 The t-Distribution -- 5.8.3 The F-Distribution -- *5.9 THE LOGISTICS DISTRIBUTION -- CHAPTER 6 DISTRIBUTIONS OF SAMPLING STATISTICS -- 6.1 INTRODUCTION -- 6.2 THE SAMPLE MEAN -- 6.3 THE CENTRAL LIMIT THEOREM -- 6.3.1 Approximate Distribution of the Sample Mean -- 6.3.2 How Large a Sample Is Needed? -- 6.4 THE SAMPLE VARIANCE -- 6.5 SAMPLING DISTRIBUTIONS FROM A NORMAL POPULATION -- 6.5.1 Distribution of the Sample Mean -- 6.5.2 Joint Distribution of X and S2 -- 6.6 SAMPLING FROM A FINITE POPULATION -- CHAPTER 7 PARAMETER ESTIMATION -- 7.1 INTRODUCTION -- 7.2 MAXIMUM LIKELIHOOD ESTIMATORS -- *7.2.1 Estimating Life Distributions -- 7.3 INTERVAL ESTIMATES -- 7.3.1 Confidence Interval for a Normal Mean When the Variance is Unknown -- 7.3.2 Confidence Intervals for the Variance of a Normal Distribution -- - 7.4 ESTIMATING THE. Probabilités Statistique mathématique Ingénierie / Méthodes statistiques MATHEMATICS / Probability & Statistics / General bisacsh Mathematical statistics fast Probabilities fast Probabilities Mathematical statistics Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s Statistik (DE-588)4056995-0 s 2\p DE-604 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=187202 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ross, Sheldon M. Introduction to probability and statistics for engineers and scientists Probabilités Statistique mathématique Ingénierie / Méthodes statistiques MATHEMATICS / Probability & Statistics / General bisacsh Mathematical statistics fast Probabilities fast Probabilities Mathematical statistics Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4064324-4 (DE-588)4056995-0 (DE-588)4123623-3 |
| title | Introduction to probability and statistics for engineers and scientists |
| title_auth | Introduction to probability and statistics for engineers and scientists |
| title_exact_search | Introduction to probability and statistics for engineers and scientists |
| title_full | Introduction to probability and statistics for engineers and scientists Sheldon M. Ross |
| title_fullStr | Introduction to probability and statistics for engineers and scientists Sheldon M. Ross |
| title_full_unstemmed | Introduction to probability and statistics for engineers and scientists Sheldon M. Ross |
| title_short | Introduction to probability and statistics for engineers and scientists |
| title_sort | introduction to probability and statistics for engineers and scientists |
| topic | Probabilités Statistique mathématique Ingénierie / Méthodes statistiques MATHEMATICS / Probability & Statistics / General bisacsh Mathematical statistics fast Probabilities fast Probabilities Mathematical statistics Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Probabilités Statistique mathématique Ingénierie / Méthodes statistiques MATHEMATICS / Probability & Statistics / General Mathematical statistics Probabilities Wahrscheinlichkeitsrechnung Statistik Lehrbuch |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=187202 |
| work_keys_str_mv | AT rosssheldonm introductiontoprobabilityandstatisticsforengineersandscientists |