Lecture Notes in Actuarial Mathematics (A Probability Course for the Actuaries) (Ghi chú bài giảng về Toán tài chính) - Marcel B. Finan
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Tài liệu ghi chú bài giảng về Toán tài chính, tập trung vào xác suất và các biến ngẫu nhiên, nhằm chuẩn bị cho kỳ thi Exam P/1 của Hiệp hội Bảo hiểm.
- Dokumentenname
- Lecture Notes in Actuarial Mathematics (A Probability Course for the Actuaries) (Ghi chú bài giảng về Toán tài chính) - Marcel B. Finan
- Autor (im Dokument)
- Marcel B. Finan
- Inhalt
- Tài liệu này cung cấp kiến thức nền tảng về xác suất, bao gồm lý thuyết tập hợp, tổ hợp, các định nghĩa và tính chất xác suất, xác suất có điều kiện, biến ngẫu nhiên rời rạc và liên tục. Nó được thiết kế để hỗ trợ ôn thi cho kỳ thi định phí Exam P/1.
- Inhaltsverzeichnis
- 1 Some Basic Definitions
- 2 Set Operations
- 9 Conditional Probabilities
- 10 Posterior Probabilities: Bayes’ Formula
- 11 Independent Events
- 12 Odds and Conditional Probability
- 13 Random Variables
- 15 Expected Value of a Discrete Random Variable
- 16 Expected Value of a Function of a Discrete Random Variable
- 17 Variance and Standard Deviation of a Discrete Random Variable
- 18 Uniform Discrete Random Variable
- 19 Bernoulli Trials and Binomial Distributions
- 20 The Expected Value and Variance of the Binomial Distribution
- 21 Poisson Random Variable
- 22 Geometric Random Variable
- 23 Negative Binomial Random Variable
- 24 Hyper-geometric Random Variable
- 25 The Cumulative Distribution Function
- 26 The Survival Distribution Function
- Calculus Prerequisite
- 27 Improper Integrals
- 28 Distribution Functions
- 29 Expectation and Variance
- 30 Median, Mode, and Percentiles
- 31 The Continuous Uniform Distribution Function
- 32 Normal Random Variables
- 33 The Normal Approximation to the Binomial Distribution
- 34 Exponential Random Variables
- 35 Gamma Distribution
- 36 The Distribution of a Function of a Continuous Random Variable
- 37 Graphing Systems of Inequalities in Two Variables
- 38 Iterated Double Integrals
- 39 Jointly Distributed Random Variables
- 40 Independent Random Variables
- 41 Sum of Two Independent Random Variables: Discrete Case
- 42 Sum of Two Independent Random Variables: Continuous Case
- 43 Conditional Distributions: Discrete Case
- 44 Conditional Distributions: Continuous Case
- 45 Joint Probability Distributions of Functions of Random Variables
- 46 Expected Value of a Function of Two Random Variables
- 47 Covariance and Variance of Sums
- 48 The Coefficient of Correlation
- 49 Conditional Expectation
- 50 Double Expectation
- 51 Conditional Variance
- 52 Moment Generating Functions
- 53 Moment Generating Functions of Sums of Independent RVs
- 54 The Central Limit Theorem
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Trích nội dung tài liệu
Lecture Notes in Actuarial Mathematics A Probability Course for the Actuaries A Preparation for Exam P/1 Marcel B. Finan In memory of my parents August 1, 2008 January 7, 2009 Preface The present manuscript is designed mainly to help students prepare for the Probability Exam (known as Exam P/1), the first actuarial examination administered by the Society of Actuaries. This examination tests a student’s knowledge of the fundamental probability tools for quantitatively assessing risk. A thorough command of calculus is assumed. More information about the exam can be found on the webpage of the Society of Actuaries www.soa.org. Problems taken from previous exams provided by the Society of Actuaries will be indicated by the symbol ‡. This manuscript can be used for personal use or class use, but not for commercial purposes. If you find any errors, I would appreciate hearing from you: mfinan@atu.edu This manuscript is also suitable for a one semester course in an undergraduate course in probability theory. Answer keys to text problems are found at the end of the book. Marcel B. Finan Russellville, AR May, 2008 i ii PREFACE Contents Preface i Set Theory Prerequisite 5 1 Some Basic Definitions . . . . . . . . . . . . . . . . . . . . . . . . 6 2 Set Operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Counting and Combinatorics 3 The Fundamental Principle of Counting . . . . . . . . . . . . . . 4 Permutations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Combinations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 31 38 44 Probability: Definitions and Properties 6 Sample Space, Events, Probability Measure . . . . . . . . . . . . 7 Probability of Intersection, Union, and Complementary Event . . 8 Probability and Counting Techniques . . . . . . . . . . . . . . . . 55 55 67 78 Conditional Probability and Independence 87 9 Conditional Probabilities . . . . . . . . . . . . . . . . . . . . . . . 87 10 Posterior Probabil
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Lecture Notes in Actuarial Mathematics (A Probability Course for the Actuaries) (Ghi chú bài giảng về Toán tài chính) - Marcel B. Finan
Vorschau wird generiert...
Trích nội dung tài liệu
Lecture Notes in Actuarial Mathematics A Probability Course for the Actuaries A Preparation for Exam P/1 Marcel B. Finan In memory of my parents August 1, 2008 January 7, 2009 Preface The present manuscript is designed mainly to help students prepare for the Probability Exam (known as Exam P/1), the first actuarial examination administered by the Society of Actuaries. This examination tests a student’s knowledge of the fundamental probability tools for quantitatively assessing risk. A thorough command of calculus is assumed. More information about the exam can be found on the webpage of the Society of Actuaries www.soa.org. Problems taken from previous exams provided by the Society of Actuaries will be indicated by the symbol ‡. This manuscript can be used for personal use or class use, but not for commercial purposes. If you find any errors, I would appreciate hearing from you: mfinan@atu.edu This manuscript is also suitable for a one semester course in an undergraduate course in probability theory. Answer keys to text problems are found at the end of the book. Marcel B. Finan Russellville, AR May, 2008 i ii PREFACE Contents Preface i Set Theory Prerequisite 5 1 Some Basic Definitions . . . . . . . . . . . . . . . . . . . . . . . . 6 2 Set Operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Counting and Combinatorics 3 The Fundamental Principle of Counting . . . . . . . . . . . . . . 4 Permutations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Combinations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 31 38 44 Probability: Definitions and Properties 6 Sample Space, Events, Probability Measure . . . . . . . . . . . . 7 Probability of Intersection, Union, and Complementary Event . . 8 Probability and Counting Techniques . . . . . . . . . . . . . . . . 55 55 67 78 Conditional Probability and Independence 87 9 Conditional Probabilities . . . . . . . . . . . . . . . . . . . . . . . 87 10 Posterior Probabil
- Dokumentenname
- Lecture Notes in Actuarial Mathematics (A Probability Course for the Actuaries) (Ghi chú bài giảng về Toán tài chính) - Marcel B. Finan
- Autor (im Dokument)
- Marcel B. Finan
- Inhalt
- Tài liệu này cung cấp kiến thức nền tảng về xác suất, bao gồm lý thuyết tập hợp, tổ hợp, các định nghĩa và tính chất xác suất, xác suất có điều kiện, biến ngẫu nhiên rời rạc và liên tục. Nó được thiết kế để hỗ trợ ôn thi cho kỳ thi định phí Exam P/1.
- Inhaltsverzeichnis
- 1 Some Basic Definitions
- 2 Set Operations
- 9 Conditional Probabilities
- 10 Posterior Probabilities: Bayes’ Formula
- 11 Independent Events
- 12 Odds and Conditional Probability
- 13 Random Variables
- 15 Expected Value of a Discrete Random Variable
- 16 Expected Value of a Function of a Discrete Random Variable
- 17 Variance and Standard Deviation of a Discrete Random Variable
- 18 Uniform Discrete Random Variable
- 19 Bernoulli Trials and Binomial Distributions
- 20 The Expected Value and Variance of the Binomial Distribution
- 21 Poisson Random Variable
- 22 Geometric Random Variable
- 23 Negative Binomial Random Variable
- 24 Hyper-geometric Random Variable
- 25 The Cumulative Distribution Function
- 26 The Survival Distribution Function
- Calculus Prerequisite
- 27 Improper Integrals
- 28 Distribution Functions
- 29 Expectation and Variance
- 30 Median, Mode, and Percentiles
- 31 The Continuous Uniform Distribution Function
- 32 Normal Random Variables
- 33 The Normal Approximation to the Binomial Distribution
- 34 Exponential Random Variables
- 35 Gamma Distribution
- 36 The Distribution of a Function of a Continuous Random Variable
- 37 Graphing Systems of Inequalities in Two Variables
- 38 Iterated Double Integrals
- 39 Jointly Distributed Random Variables
- 40 Independent Random Variables
- 41 Sum of Two Independent Random Variables: Discrete Case
- 42 Sum of Two Independent Random Variables: Continuous Case
- 43 Conditional Distributions: Discrete Case
- 44 Conditional Distributions: Continuous Case
- 45 Joint Probability Distributions of Functions of Random Variables
- 46 Expected Value of a Function of Two Random Variables
- 47 Covariance and Variance of Sums
- 48 The Coefficient of Correlation
- 49 Conditional Expectation
- 50 Double Expectation
- 51 Conditional Variance
- 52 Moment Generating Functions
- 53 Moment Generating Functions of Sums of Independent RVs
- 54 The Central Limit Theorem
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- 765 Seiten
- Hochgeladen von
- Uni24h
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- Enthält Antworten / Lösungen
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