A simple template to be used as a personal diary or journal. Benefits over a typical hand-written journal include (1) no set entry length, (2) the ability to write as fast as one can type — often much faster than hand-writing speed, and (3) no pressure to write every day — rather than the standard journal with a page/heading for each day, this journal has only headings for the days you choose to write. I do not claim to be any sort of LaTeX expert, but I have found creating this template helpful for my own personal use. I hope you find it useful as well. Happy writing!
An unofficial template for editing a bachelor and master thesis at the University of Sannio in Benevento, Italy - Departement fo Engineering. This is an alternative template with respect to one already present among the Overleaf's templates.
Benford law states that the occurrence of digits from 0-9 in a large set of data is not uniformly distributed but instead in a decreasing logarithmic distribution with 1 occurring at most. Almost all set of data follows this trend however this law is widely used as a base for various fraud detection and forensic accounting. Benford’s law is an observation that leading digits in data derived from measurements doesn’t follow uniform distribution. Different financial statements such as cash flows, income statement and balance sheet of the 20 tech companies of the Fortune 500 are analyzed in this project. Cash flow is the net amount of cash and cash-equivalents moving into and out of a business. Income statement is a financial statement that measures a company's financial performance over a specific accounting period. Balance sheet is a financial statement that summarizes a company's assets, liabilities and shareholders’ equity at a specific point in time. All of these data of financial statements are extracted from Morning Star database and are analyzed by Python program written by me.I also wrote the Python program to calculate Benford's second digit and third digit probability using the formula. I would like to thank Prof. Erin Wagner and Dr. Courtney Taylor for helping in this research project.