Financial Statistics

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First Course in Statistics

Editorial Reviews
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This book presents balanced coverage of the theory and application of statistics while enhancing student's critical thinking skills. It teaches students how to analyze data that appear in situations in the world around them - almost all of the examples and exercises are based on current, real-world applications pulled from journals, magazines, news articles, and commerce. The text shows students that knowledge of statistics is important to their own lives.

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Data Analysis in Plain English With Microsoft Excel

Editorial Reviews
From AMAZON.COM

Harvey Brightman's accessible, easy-to-understand new book focuses on helping readers learn essential statistical concepts and data analysis. In an intuitive and non-mathematical writing style, Brightman uses actual business applications and covers practical insights in business problem solving using Microsoft Excel as the primary computational tool. His clear, to-the-point presentation gives students a 'map' for learning what data analysis techniques to use and when to use them.

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An Introduction to Mathematical Statistics and Its Applications

Editorial Reviews
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(Pearson Education) Contents include probability, random variables, estimation, hypothesis testing, normal distribution, analysis of variance, nonparametric statistics, and more. DLC: Mathematical statistics.

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Business Statistics (Barron's Business Review Series)

Review
A reader from Amazon.com

I read this book just before starting an MBA course called "Basic Statistics". I found the book to be clear, intuitive and it certainly covered all topics we discussed in class. In my opinion, this book presents an easy way to understand Statistics by applying them to real business situations. I still use it as reference at work. Highly recommendable for business people interested in Statistics and with no much background in Math (just make sure you know how to add)

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Introduction to Mathematical Finance : Discrete Time Models

Review
A reader from Amazon.com

Pliska's book lays out the fundamentals of discrete time models in a clear and concise manner. The book is mostly self contained and well supported with examples that enhance understanding. I read it as a part of my introductory Phd finance course along with Theory of Financial Decision Making by Ingersoll and Foundations for Financial Economics Huang & Litzenberger (not direct competitors) and found Pliska's book to be the most understandable of the three.

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