Practical Spreadsheet Statistics And Curve Fitting For Scientists And Engineers

Though Japan has successfully competed with U.S. companies in the manufacturing and marketing of computer hardware, it has been less successful in developing computer programs. This book contains the first detailed analysis of how Japanese firms have tried to redress this imbalance by applying their skills in engineering and production management to software development. Cusumano focuses on the creation of "software factories" in which large numbers of people are engaged in developing software in cooperative ways---i.e. individual programs are not developed in isolation but rather utilize portions of other programs already developed whenever possible, and then yield usable portions for other programs being written. Devoting chapters to working methods at System Developing Corp., Hitachi, Toshiba, NEC, and Fujitsu, and including a comparison of Japanese and U.S. software factories, Cusumano's book will be important reading for all people involved in software and computer technology, as well as those interested in Japanese business and corporate culture.

This guide focuses on how to make graphs and abstract physical information from data using a personal computer. This tutorial program/book package covers the elements of curve fitting and statistical treatment of data and numerical analysis. Taking a step-by-step approach, the book, the program, and the accompanying data files are designed to demonstrate common errors and pitfalls. It contains examples from analytical chemistry, chemical engineering and biochemistry. For those engineers and/or scientists who want to easily make graphs and plot physical information from data with a microcomputer.

This book provides direction in constructing regression routines that can be used with worksheet software on personal computers. The book lists useful references for those readers who desire more in-depth understanding of the mathematical bases, and is helpful for science and engineering students.

"Spreadsheets in Science and Engineering" shows scientists and engineers at all levels how to analyze, validate and calculate data and how the analytical and graphic capabilities of spreadsheet programs (ExcelR) can solve these tasks in their daily work. The examples on the CD-ROM accompanying the book include material of undergraduate to current research level in disciplines ranging from chemistry and chemical engineering to molecular biology and geology.

This book provides direction in constructing regression routines that can be used with worksheet software on personal computers. The book lists useful references for those readers who desire more in-depth understanding of the mathematical bases, and is helpful for science and engineering students.

This practical guide offers information on how to design and create a flexible and cost effective Laboratory Information Management (LIM) system. Examples are used to explain how to decide what data to archive, and the implementation of a custom built database system is also covered.

A sourcebook of numerical methods implemented on the Excel spreadsheet. Each example is explained in detail, showing not only the numerical method but the step-by-step implementation of the method on a spreadsheet. All levels of numerical analysis are described, from simple tabulations of functions, statistics and curve fitting to solutions of differential equations in one and two dimensions. These methods are applicable to both the Macintosh and Windows versions of Excel.

This book is an accessible resource offering practical information not found in more database-oriented resources. The first chapter lists acronyms with definitions, and a glossary of terms and subjects used in biochemistry, molecular biology, biotechnology, proteomics, genomics, and systems biology. There follows chapters on chemicals employed in biochemistry and molecular biology, complete with properties and structure drawings. Researchers will find this book to be a valuable tool that will save them time, as well as provide essential links to the roots of their science. Key selling features: Contains an extensive list of commonly used acronyms with definitions Offers a highly readable glossary for systems and techniques Provides comprehensive information for the validation of biotechnology assays and manufacturing processes Includes a list of Log P values, water solubility, and molecular weight for selected chemicals Gives a detailed listing of protease inhibitors and cocktails, as well as a list of buffers