Schaum’s Outline of Mathematics of Finance, Second Edition (Schaum’s Outlines) Brown – eBook PDF

Schaum’s Outline of Mathematics of Finance, Second Edition (Schaum’s Outlines) – Ebook PDF Instant Delivery – ISBN(s): 9781264267125,1264267126

Product details:

• ISBN-10 ‏ : ‎ 0071756051
• ISBN-13 ‏ : ‎ 978-0071756051
• Author:  Robert Brown, Petr Zima 

More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice.

• Coverage of a wide variety of practical applications using actual business and financial transactions
• Each chapter presents principles and formulas, together with solved problems relevant to each subtopic, followed by a set of supplementary problems with answers
• Review problems at the end of the book for additional study or self-testing
• Chapter topics include: Exponents and logarithms; Progressions; Simple interest and discount; Compound interest and discount; Simple annuities; General and other annuities; Amortization and sinking funds; Bonds: Capital Budgeting and depreciation; Contingent payments; Life annuities and life insurance

Table of contents:

• Chapter 1 Set Theory

• 1.1 Introduction

• 1.2 Sets and Elements, Subsets

• 1.3 Venn Diagrams

• 1.4 Set Operations

• 1.5 Finite and Countable Sets

• 1.6 Counting Elements in Finite Sets, Inclusion-Exclusion Principle

• 1.7 Products Sets

• 1.8 Classes of Sets, Power Sets, Partitions

• 1.9 Mathematical Induction

• Chapter 2 Techniques of Counting

• 2.1 Introduction

• 2.2 Basic Counting Principles

• 2.3 Factorial Notation

• 2.4 Binomial Coefficients

• 2.5 Permutations

• 2.6 Combinations

• 2.7 Tree Diagrams

• Chapter 3 Introduction to Probability

• 3.1 Introduction

• 3.2 Sample Space and Events

• 3.3 Axioms of Probability

• 3.4 Finite Probability Spaces

• 3.5 Infinite Sample Spaces

• 3.6 Classical Birthday Problem

• Chapter 4 Conditional Probability and Independence

• 4.1 Introduction

• 4.2 Conditional Probability

• 4.3 Finite Stochastic and Tree Diagrams

• 4.4 Partitions, Total Probability, and Bayes’ Formula

• 4.5 Independent Events

• 4.6 Independent Repeated Trials

• Chapter 5 Random Variables

• 5.1 Introduction

• 5.2 Random Variables

• 5.3 Probability Distribution of a Finite Random Variable

• 5.4 Expectation of a Finite Random Variable

• 5.5 Variance and Standard Deviation

• 5.6 Joint Distribution of Random Variables

• 5.7 Independent Random Variables

• 5.8 Functions of a Random Variable

• 5.9 Discrete Random Variables in General

• 5.10 Continuous Random Variables

• 5.11 Cumulative Distribution Function

• 5.12 Chebyshev’s Inequality and the Law of Large Numbers

• Chapter 6 Binomial and Normal Distributions

• 6.1 Introduction

• 6.2 Bernoulli Trials, Binomial Distribution

• 6.3 Normal Distribution

• 6.4 Evaluating Normal Probabilities

• 6.5 Normal Approximation of the Binomial Distribution

• 6.6 Calculations of Binomial Probabilities Using the Normal Approximation

• 6.7 Poisson Distribution

• 6.8 Miscellaneous Discrete Random Variables

• 6.9 Miscellaneous Continuous Random Variables

• Chapter 7 Markov Processes

• 7.1 Introduction

• 7.2 Vectors and Matrices

• 7.3 Probability Vectors and Stochastic Matrices

• 7.4 Transition Matrix of a Markov Process

• 7.5 State Distributions

• 7.6 Regular Markov Processes and Stationary State Distributions

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