The Most Similar Neighbor (MSN, Moeur and Stage 1995) program is used to impute attributes measured on some sample units to sample units where they are not measured. In forestry applications, forest stands or vegetation polygons are examples of sample units. Attributes from detailed vegetation inventories are imputed to sample units where that information is not measured. MSN performs a canonical correlation analysis between information measured on all units and the detailed inventory data to guide the selection of measurements to impute. This report presents an introductory discussion of Most Similar Neighbor imputation and shows how to run the program. An example taken from a forest inventory application is presented with notes on other applications and experiences using MSN. Technical details of the way MSN works are included. Information on how to get and install the program and on computer system requirements is appended. The MSN Web address is: http://forest.moscowfsl.wsu.edu/gems/msn.html.
Demonstrates the essential elements of 1-2-3 Release 3 and discusses working in multiple-worksheet and multiple-file environments, creating macro-driven applications, and taking advantage of the many aspects of Release 3
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Completely updated to reflect the changes and additions made to the Handbook. Throughout the Guide, you will find useful information on how to make full use of the Handbook to solve problems encountered on the job. In addition to offering a wealth of time-saving data that can help in almost any situation, it includes over 500 examples and questions (with answers) specially selected for engineers and apprentices.
This comprehensive guide offers a thorough presentation of the worksheet, database and graphics functions. In addition, the revised text shows how to create and use macros, string functions and many other sophisticated 1-2-3 features.
Completely updated guide for scientists, engineers and students who want to use Microsoft Excel 2007 to its full potential. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data. Content written specifically for the requirements of science and engineering students and professionals working with Microsoft Excel, brought fully up to date with the new Microsoft Office release of Excel 2007. Features of Excel 2007 are illustrated through a wide variety of examples based in technical contexts, demonstrating the use of the program for analysis and presentation of experimental results. Updated with new examples, problem sets, and applications.
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