CLIENTES - ACCESO PRIVADO    Suscribirse a nuestras novedades (RSS)        
 
BÚSQUEDA:        Buscar
Libros nacionales y extranjeros para bibliotecas,
 
 
Búsqueda avanzada
Libros nacionales y extranjeros para bibliotecas, escuelas, universidades, librerías
     
         
  Arte
Astronomía
Botánica
Ciencia y conocimiento
Ciencias aplicadas / tecnología
Ciencias biológicas
Ciencias sociales
Economía
Filosofía
Física
Generalidades
Geografía
Geología
Historia
Infantil / juvenil
Informática
Ingeniería
Lingüística / filología
Literatura
Matemáticas
Material complementario
Medicina
Ocio
Paleontología / fósiles
Química
Religión y teología
Zoología
   
   
 
   
Los Andes Libros s.l. + 34 935 00 39 13
C/ Andalusia, 3 Local 5 - 08014 Barcelona
 
Probability and Stadistics for Engineers and Scientits
Hayter, Anthony
Probability and Stadistics for Engineers and Scientits
ean9780495118633
temáticaESTADÍSTICA, INGENIERÍA
edición3RD
año Publicación2010
idiomaINGLÉS
editorialCENGAGE LEARNING


68,96 €


   PEDIR
 
NOVEDAD
 
Últimas novedades
estadística
ingeniería
The new edition of Anthony Hayter’s book continues in the same student-oriented vein that has made previous editions successful. Because Tony Hayter teaches and conducts research at a premier engineering school, he is in touch with engineers daily and understands their vocabulary. This leads to a clear and more readable writing style that students understand and appreciate. Additionally, because of his intimacy with the professional community, Hayter includes many high-interest examples and datasets that keep students’ attention throughout the term.

PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS employs a flexible approach with regard to the use of computer tools. Because the book is not tied to a particular software package, instructors may choose the program that best suits their needs. However, the book does provide substantial computer output (using MINITAB and other programs) to give students the necessary practice in interpreting output. "Computer Note" sections offer tips for using various software packages to perform analysis of the datasets, which can be downloaded from the website. Through the use of extensive examples and datasets, the book illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics.

Features

Each topic presented is introduced with reference to several real examples from engineering and the sciences. After the topic has been developed technically, the important points are summarized in a highlighted box.
Examples are used to illustrate proper application of new methodologies and are developed throughout the chapters as increasingly sophisticated methodologies are considered.
The applied presentation emphasizes the understanding of underlying concepts and the application of statistical methodologies.
Composition of the book allows flexibility in the order in which the material is taught. The material has been divided into four sections based on probability (Chapters 1-5), basic statistics (Chapters 6-10), advanced statistical methodologies (Chapters 11-14), and additional topics (Chapters 15-17). The Preface offers suggested paths that can be taken, based on topic preference. This is ideal for departments in which different methods of teaching coexist.
This book can also serve as a handbook of statistical methodologies for undergraduate and graduate engineering students.
Answers to all odd-numbered problems from the end-of-chapter sections are provided at the back of the book.

1. PROBABILITY THEORY.
Probabilities. Events. Combinations of Events. Conditional Probability. Probabilities of Event Intersections. Posterior Probabilities. Counting Techniques.
2. RANDOM VARIABLES.
Discrete Random Variables. Continuous Random Variables. The Expectation of a Random Variable. The Variance of a Random Variable. Jointly Distributed Random Variables. Combinations and Functions of Random Variables.
3. DISCRETE PROBABILITY DISTRIBUTIONS.
The Binomial Distribution. The Geometric and Negative Binomial Distributions. The Hypergeometric Distribution. The Poisson Distribution. The Multinomial Distribution.
4. CONTINUOUS PROBABILITY DISTRIBUTIONS.
The Uniform Distribution. The Exponential Distribution. The Gamma Distribution. The Weibull Distribution. The Beta Distribution.
5. THE NORMAL DISTRIBUTION.
Probability Calculations Using the Normal Distribution. Linear Combinations of Normal Random Variables. Approximating Distributions with the Normal Distribution. Distributions Related to the Normal Distribution.
6. DESCRIPTIVE STATISTICS.
Experimentation. Data Presentation. Sample Statistics. Examples.
7. STATISTICAL ESTIMATION AND SAMPLING DISTRIBUTIONS.
Point Estimates. Properties of Point Estimates. Sampling Distributions. Constructing Parameter Estimates.
8. INFERENCES ON A POPULATION MEAN.
Confidence Intervals. Hypothesis Testing. Summary.
9. COMPARING TWO POPULATION MEANS.
Introduction. Analysis of Paired Samples. Analysis of Independent Samples. Summary.
10. DISCRETE DATA ANALYSIS.
Inferences on a population Proportion. Comparing Two Population Proportions. Goodness-of-Fit Tests for One-Way Contingency Tables. Testing for Independence in Two-Way Contingency Tables.
11. THE ANALYSIS OF VARIANCE.
One Factor Analysis of Variance. Randomized Block Designs.
12. SIMPLE LINEAR REGRESSION AND CORRELATION.
The Simple Linear Regression Model. Fitting the Regression Line. Inferences on the Slope Parameter ß1. Inferences on the Regression Line. Prediction Intervals for Future Response Values. The Analysis of Variance Tables. Residual Analysis. Variable Transformation. Correlation Analysis.
13. MULTIPLE LINEAR REGRESSION AND NONLINEAR REGRESSION.
Introduction to Multiple Linear Regression. Examples of Multiple Linear Regression. matrix Algebra Formulation of Multi-le Linear Regression. Evaluating Model Adequacy. Nonlinear Regression.
14. MULTIFACTOR EXPERIMENTAL DESIGN AND ANALYSIS.
Experiments with Two Factors. Experiments with Three or More Factors.
15. NONPARAMETRIC STATISTICAL ANALYSIS.
The analysis of a single Population. Comparing Two Populations. Comparing Three or More Populations.
16. QUALITY CONTROL METHODS.
Introduction. Statistical Process control. Variable Control Charts. Attribute Control Charts. Acceptance Sampling.
17. RELIABILITY ANALYSIS AND LIFE TESTING.
System Reliability. Modeling Failure Rates. Life Testing.
Tables.
Answers to Odd-Numbered Problems.
Index.
A new continuing case study, Microelectronic Solder Joints, begins before Chapter 1 and runs through Chapter 12. This continuing case presents an interesting engineering problem and shows how probability and statistics are used to analyze and solve it. The case also helps illustrate the connections to topics within the first 12 chapters.The Third Edition has over 40% more exercises. In this new edition, we have over 300 additional problems, with many new datasets, and interesting real world problems from every engineering area. Students have raved about the true/false questions in particular, commenting that they provide a needed self-check opportunity.There are now 78 worked examples and 156 datasets from the many different areas of engineering: civil, mechanical, electrical, industrial, aerospace, biomedical, textile, chemical, computing, etc.Dozens of graphs have been redone to make them more consistent and professional. Additionally, new graphical tools have been created to help students learn concepts more visually.
{Supplements}
{Quotes}
Anthony J. Hayter



HomeInstructors
New TitlesGeneral Chemistry TextbookPhysics for the Life Sciences TextbookOrder Inspection CopiesOnline ResourcesRep locatorStudents
Online Student ResourcesBookshopsAuthors
Review processProposal guidelinesUnited KingdomChange your regionSearch Go
AccountingBusiness & TechnologyBusiness CommunicationBusiness EducationBusiness LawBusiness MathematicsBusiness StatisticsCareer Investigation & ReadinessCertificationCommunicationsComputer ApplicationsComputer EducationDecision SciencesEconomicsFinanceIntroduction to BusinessManagementMarketingOffice TechnologyReal EstateReferenceTaxationTechnologyAnthropologyArtCommunication and MediaCounselling/PsychotherapyCriminal JusticeDevelopmental EnglishEnglishEnglish as a Second LanguageFrenchGermanHistoryHuman ServicesItalianModern LanguageMusicPhilosophyPolitical SciencePsychologyReligionSocial WorkSociologySpanishAstronomyChemistryEarth ScienceEngineeringHealthLife SciencesMathematicsNutritionOceanographyPhysicsAssessment, Training, and ProjectsComputer ConceptsComputer ScienceDatabasesGame Design & DevelopmentGraphic CommunicationsHelp Desk/Desktop SupportInternetMedia Arts & DesignMISMusic TechnologyNetworking & SecurityOffice SuitesOperating SystemsPC Repair/A+Presentation ToolsProgrammingProject ManagementSoft SkillsSpreadsheetsWeb Design & DevelopmentWord ProcessingAgriscienceAutomotive and MechanicsAviationCatering and HospitalityCollege SuccessEducationElectronics and EngineeringHair & BeautyLeisure and ToursimNursing, Medical and DentistryPhotography, Multimedia and DesignProfessional Development and Study SkillsTradesCengage Learning EMEAEnglish Language TeachingGlobalHigher EducationLibrary & ReferenceAbout UsCopyright, Terms & ConditionsPrivacy PolicyContact UsCareersWebsite Design by Mulberry Interactive Ltd
indíce
1. PROBABILITY THEORY.
Probabilities. Events. Combinations of Events. Conditional Probability. Probabilities of Event Intersections. Posterior Probabilities. Counting Techniques.
2. RANDOM VARIABLES.
Discrete Random Variables. Continuous Random Variables. The Expectation of a Random Variable. The Variance of a Random Variable. Jointly Distributed Random Variables. Combinations and Functions of Random Variables.
3. DISCRETE PROBABILITY DISTRIBUTIONS.
The Binomial Distribution. The Geometric and Negative Binomial Distributions. The Hypergeometric Distribution. The Poisson Distribution. The Multinomial Distribution.
4. CONTINUOUS PROBABILITY DISTRIBUTIONS.
The Uniform Distribution. The Exponential Distribution. The Gamma Distribution. The Weibull Distribution. The Beta Distribution.
5. THE NORMAL DISTRIBUTION.
Probability Calculations Using the Normal Distribution. Linear Combinations of Normal Random Variables. Approximating Distributions with the Normal Distribution. Distributions Related to the Normal Distribution.
6. DESCRIPTIVE STATISTICS.
Experimentation. Data Presentation. Sample Statistics. Examples.
7. STATISTICAL ESTIMATION AND SAMPLING DISTRIBUTIONS.
Point Estimates. Properties of Point Estimates. Sampling Distributions. Constructing Parameter Estimates.
8. INFERENCES ON A POPULATION MEAN.
Confidence Intervals. Hypothesis Testing. Summary.
9. COMPARING TWO POPULATION MEANS.
Introduction. Analysis of Paired Samples. Analysis of Independent Samples. Summary.
10. DISCRETE DATA ANALYSIS.
Inferences on a population Proportion. Comparing Two Population Proportions. Goodness-of-Fit Tests for One-Way Contingency Tables. Testing for Independence in Two-Way Contingency Tables.
11. THE ANALYSIS OF VARIANCE.
One Factor Analysis of Variance. Randomized Block Designs.
12. SIMPLE LINEAR REGRESSION AND CORRELATION.
The Simple Linear Regression Model. Fitting the Regression Line. Inferences on the Slope Parameter ß1. Inferences on the Regression Line. Prediction Intervals for Future Response Values. The Analysis of Variance Tables. Residual Analysis. Variable Transformation. Correlation Analysis.
13. MULTIPLE LINEAR REGRESSION AND NONLINEAR REGRESSION.
Introduction to Multiple Linear Regression. Examples of Multiple Linear Regression. matrix Algebra Formulation of Multi-le Linear Regression. Evaluating Model Adequacy. Nonlinear Regression.
14. MULTIFACTOR EXPERIMENTAL DESIGN AND ANALYSIS.
Experiments with Two Factors. Experiments with Three or More Factors.
15. NONPARAMETRIC STATISTICAL ANALYSIS.
The analysis of a single Population. Comparing Two Populations. Comparing Three or More Populations.
16. QUALITY CONTROL METHODS.
Introduction. Statistical Process control. Variable Control Charts. Attribute Control Charts. Acceptance Sampling.
17. RELIABILITY ANALYSIS AND LIFE TESTING.
System Reliability. Modeling Failure Rates. Life Testing.
Tables.
Answers to Odd-Numbered Problems.
Index.
A new continuing case study, Microelectronic Solder Joints, begins before Chapter 1 and runs through Chapter 12. This continuing case presents an interesting engineering problem and shows how probability and statistics are used to analyze and solve it. The case also helps illustrate the connections to topics within the first 12 chapters.The Third Edition has over 40% more exercises. In this new edition, we have over 300 additional problems, with many new datasets, and interesting real world problems from every engineering area. Students have raved about the true/false questions in particular, commenting that they provide a needed self-check opportunity.There are now 78 worked examples and 156 datasets from the many different areas of engineering: civil, mechanical, electrical, industrial, aerospace, biomedical, textile, chemical, computing, etc.Dozens of graphs have been redone to make them more consistent and professional. Additionally, new graphical tools have been created to help students learn concepts more visually.
{Supplements}
{Quotes}
Anthony J. Hayter



HomeInstructors
New TitlesGeneral Chemistry TextbookPhysics for the Life Sciences TextbookOrder Inspection CopiesOnline ResourcesRep locatorStudents
Online Student ResourcesBookshopsAuthors
Review processProposal guidelinesUnited KingdomChange your regionSearch Go
AccountingBusiness & TechnologyBusiness CommunicationBusiness EducationBusiness LawBusiness MathematicsBusiness StatisticsCareer Investigation & ReadinessCertificationCommunicationsComputer ApplicationsComputer EducationDecision SciencesEconomicsFinanceIntroduction to BusinessManagementMarketingOffice TechnologyReal EstateReferenceTaxationTechnologyAnthropologyArtCommunication and MediaCounselling/PsychotherapyCriminal JusticeDevelopmental EnglishEnglishEnglish as a Second LanguageFrenchGermanHistoryHuman ServicesItalianModern LanguageMusicPhilosophyPolitical SciencePsychologyReligionSocial WorkSociologySpanishAstronomyChemistryEarth ScienceEngineeringHealthLife SciencesMathematicsNutritionOceanographyPhysicsAssessment, Training, and ProjectsComputer ConceptsComputer ScienceDatabasesGame Design & DevelopmentGraphic CommunicationsHelp Desk/Desktop SupportInternetMedia Arts & DesignMISMusic TechnologyNetworking & SecurityOffice SuitesOperating SystemsPC Repair/A+Presentation ToolsProgrammingProject ManagementSoft SkillsSpreadsheetsWeb Design & DevelopmentWord ProcessingAgriscienceAutomotive and MechanicsAviationCatering and HospitalityCollege SuccessEducationElectronics and EngineeringHair & BeautyLeisure and ToursimNursing, Medical and DentistryPhotography, Multimedia and DesignProfessional Development and Study SkillsTradesCengage Learning EMEAEnglish Language TeachingGlobalHigher EducationLibrary & ReferenceAbout UsCopyright, Terms & ConditionsPrivacy PolicyContact UsCareersWebsite Design by Mulberry Interactive Ltd
Finançat per UE