This useful guide walks venture capitalists through the principles of finance and the financial models that underlie venture capital decisions. It presents a new unified treatment of investment decision making and mark-to-market valuation. The discussions of risk-return and cost-of-capital calculations have been updated with the latest information. The most current industry data is included to demonstrate large changes in venture capital investments since 1999. The coverage of the real-options methodology has also been streamlined and includes new connections to venture capital valuation. In addition, venture capitalists will find revised information on the reality-check valuation model to allow for greater flexibility in growth assumptions.

Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP

An engaging guide to excelling in today's venture capital arena Beginning in 2005, Brad Feld and Jason Mendelson, managing directors at Foundry Group, wrote a long series of blog posts describing all the parts of a typical venture capital Term Sheet: a document which outlines key financial and other terms of a proposed investment. Since this time, they've seen the series used as the basis for a number of college courses, and have been thanked by thousands of people who have used the information to gain a better understanding of the venture capital field. Drawn from the past work Feld and Mendelson have written about in their blog and augmented with newer material, Venture Capital Financings puts this discipline in perspective and lays out the strategies that allow entrepreneurs to excel in their start-up companies. Page by page, this book discusses all facets of the venture capital fundraising process. Along the way, Feld and Mendelson touch on everything from how valuations are set to what externalities venture capitalists face that factor into entrepreneurs' businesses. Includes a breakdown analysis of the mechanics of a Term Sheet and the tactics needed to negotiate Details the different stages of the venture capital process, from starting a venture and seeing it through to the later stages Explores the entire venture capital ecosystem including those who invest in venture capitalist Contain standard documents that are used in these transactions Written by two highly regarded experts in the world of venture capital The venture capital arena is a complex and competitive place, but with this book as your guide, you'll discover what it takes to make your way through it.

"A fresh approach to designing and managing channels for the long term, this book helps firms expand value for their customers and partners while buttressing their own bottom line."--Jacket.

A golem created to assassinate a criminal in 1856 is reawakened in the present ... intent on targeting his victim’s innocent descendants. When treasure hunters excavate the long-lost wreck of the steamship Arcadia from a Kansas cornfield, a buried creature awakens – a mindless assassin of accursed earth, shaped like a man though in no way mortal, created to kill a slave trader in 1856. With the original target long dead, the monster sets its sight on the man’s closest surviving descendant . . . a burned-out IT technician named Ben Middleton. Nothing could have prepared Ben for the horror now aimed directly at his lackadaisical life. But he isn’t only being chased by the monster, and it’s not just his own life in danger.

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com