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Probability Vital Source e-bog
Jim Pitman
(2012)
Springer Nature
582,00 kr.
Leveres umiddelbart efter køb
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Probability Vital Source e-bog
Jim Pitman
(2012)
Springer Nature
815,00 kr.
733,50 kr.
Leveres umiddelbart efter køb
Probability Vital Source e-bog
Jim Pitman
(2012)
Springer Nature
757,00 kr.
Leveres umiddelbart efter køb
Probability
Jim Pitman
(1999)
Sprog: Engelsk
Springer New York
555,00 kr.
1 stk på lager
Hvor er varen på lager?om ca. 2 hverdage
Detaljer om varen
- Vital Source 90 day rentals (fixed pages)
- Udgiver: Springer Nature (December 2012)
- ISBN: 9781461243748R90
Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo rems and proofs. So the emphasis is on problem solving rather than theory.
Licens varighed:
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
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Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
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Print: -1 sider kan printes ad gangen
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Detaljer om varen
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Springer Nature (December 2012)
- ISBN: 9781461243748
Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo rems and proofs. So the emphasis is on problem solving rather than theory.
Licens varighed:
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source 180 day rentals (fixed pages)
- Udgiver: Springer Nature (December 2012)
- ISBN: 9781461243748R180
Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo rems and proofs. So the emphasis is on problem solving rather than theory.
Licens varighed:
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback: 559 sider
- Udgiver: Springer New York (Maj 1999)
- ISBN: 9780387979748
This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail.
The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.
The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.
1 Introduction
-
1.
1 Equally Likely Outcomes. -
1.
2 Interpretations. -
1.
3 Distributions. -
1.
4 Conditional Probability and Independence. -
1.
5 Bayes' Rule. -
1.
6 Sequences of Events. - Summary. - Review Exercises. - 2 Repeated Trials and Sampling. -
2.
1 The Binomial Distribution. -
2.
2 Normal Approximation: Method. -
2.
3 Normal Approximation: Derivation (Optional). -
2.
4 Poisson Approximation. -
2.
5 Random Sampling. - Summary. - Review Exercises. - 3 Random Variables. -
3.
1 Introduction
-
3.
2 Expectation. -
3.
3 Standard Deviation and Normal Approximation. -
3.
4 Discrete Distributions. -
3.
5 The Poisson Distribution. -
3.
6 Symmetry (Optional). - Summary. - Review Exercises. - 4 Continuous Distributions. -
4.
1 Probability Densities. -
4.
2 Exponential and Gamma Distributions. -
4.
3 Hazard Rates (Optional). -
4.
4 Change of Variable. -
4.
5 Cumulative Distribution Functions. -
4.
6 Order Statistics (Optional). - Summary. - Review Exercises. - 5 Continuous Joint Distributions. -
5.
1 Uniform Distributions. -
5.
2 Densities. -
5.
3 Independent Normal Variables. -
5.
4 Operations (Optional). - Summary. - Review Exercises. - 6 Dependence. -
6.
1 Conditional Distributions: Discrete Case. -
6.
2 Conditional Expectation: Discrete Case. -
6.
3 Conditioning: Density Case. -
6.
4 Covariance and Correlation. -
6.
5 Bivariate Normal. - Summary. - Review Exercises. - Distribution Summaries. - Discrete. - Continuous. - Beta. - Binomial. - Exponential. - Gamma. - Geometric and Negative Binomial. - Hypergeometrie. - Normal. - Poisson. - Uniform. - Examinations. - Solutions to Examinations. - Appendices. - 1 Counting. - 2 Sums. - 3 Calculus. - 4 Exponents and Logarithms. - 5 Normal Table. - Brief Solutions to Odd-Numbered Exercises.
-
1.
1 Equally Likely Outcomes. -
1.
2 Interpretations. -
1.
3 Distributions. -
1.
4 Conditional Probability and Independence. -
1.
5 Bayes' Rule. -
1.
6 Sequences of Events. - Summary. - Review Exercises. - 2 Repeated Trials and Sampling. -
2.
1 The Binomial Distribution. -
2.
2 Normal Approximation: Method. -
2.
3 Normal Approximation: Derivation (Optional). -
2.
4 Poisson Approximation. -
2.
5 Random Sampling. - Summary. - Review Exercises. - 3 Random Variables. -
3.
1 Introduction
-
3.
2 Expectation. -
3.
3 Standard Deviation and Normal Approximation. -
3.
4 Discrete Distributions. -
3.
5 The Poisson Distribution. -
3.
6 Symmetry (Optional). - Summary. - Review Exercises. - 4 Continuous Distributions. -
4.
1 Probability Densities. -
4.
2 Exponential and Gamma Distributions. -
4.
3 Hazard Rates (Optional). -
4.
4 Change of Variable. -
4.
5 Cumulative Distribution Functions. -
4.
6 Order Statistics (Optional). - Summary. - Review Exercises. - 5 Continuous Joint Distributions. -
5.
1 Uniform Distributions. -
5.
2 Densities. -
5.
3 Independent Normal Variables. -
5.
4 Operations (Optional). - Summary. - Review Exercises. - 6 Dependence. -
6.
1 Conditional Distributions: Discrete Case. -
6.
2 Conditional Expectation: Discrete Case. -
6.
3 Conditioning: Density Case. -
6.
4 Covariance and Correlation. -
6.
5 Bivariate Normal. - Summary. - Review Exercises. - Distribution Summaries. - Discrete. - Continuous. - Beta. - Binomial. - Exponential. - Gamma. - Geometric and Negative Binomial. - Hypergeometrie. - Normal. - Poisson. - Uniform. - Examinations. - Solutions to Examinations. - Appendices. - 1 Counting. - 2 Sums. - 3 Calculus. - 4 Exponents and Logarithms. - 5 Normal Table. - Brief Solutions to Odd-Numbered Exercises.
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