Author : R. Carter Hill
Publisher :
Page : pages
File Size : 36,85 MB
Release : 2017
Category : BUSINESS & ECONOMICS
ISBN : 9781119320951
Revised edition of the authors' Principles of econometrics, c2011.
Author : Simon Benninga
Publisher : MIT Press
Page : 648 pages
File Size : 25,64 MB
Release : 2000
Category : Business & Economics
ISBN : 9780262024822
Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
Author : Samuel J. Mantel
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 44,97 MB
Release : 2011
Category : Management
ISBN : 9780470646205
Project Management in Practice, 4th Edition focuses on the technical aspects of project management that are directly related to practice.
Author : Leland T. Blank
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 0 pages
File Size : 10,43 MB
Release : 2002
Category : Engineering economy
ISBN : 9780072517149
Publisher Description
Author : Raffaele De Caterina
Publisher : Academic Press
Page : 588 pages
File Size : 50,58 MB
Release : 2019-09-22
Category : Medical
ISBN : 0128045876
Principles of Nutrigenetics and Nutrigenomics: Fundamentals for Individualized Nutrition is the most comprehensive foundational text on the complex topics of nutrigenetics and nutrigenomics. Edited by three leaders in the field with contributions from the most well-cited researchers conducting groundbreaking research in the field, the book covers how the genetic makeup influences the response to foods and nutrients and how nutrients affect gene expression. Principles of Nutrigenetics and Nutrigenomics: Fundamentals for Individualized Nutrition is broken into four parts providing a valuable overview of genetics, nutrigenetics, and nutrigenomics, and a conclusion that helps to translate research into practice. With an overview of the background, evidence, challenges, and opportunities in the field, readers will come away with a strong understanding of how this new science is the frontier of medical nutrition. Principles of Nutrigenetics and Nutrigenomics: Fundamentals for Individualized Nutrition is a valuable reference for students and researchers studying nutrition, genetics, medicine, and related fields. - Uniquely foundational, comprehensive, and systematic approach with full evidence-based coverage of established and emerging topics in nutrigenetics and nutrigenomics - Includes a valuable guide to ethics for genetic testing for nutritional advice - Chapters include definitions, methods, summaries, figures, and tables to help students, researchers, and faculty grasp key concepts - Companion website includes slide decks, images, questions, and other teaching and learning aids designed to facilitate communication and comprehension of the content presented in the book
Author :
Publisher :
Page : 211 pages
File Size : 48,68 MB
Release : 2006-06
Category : Reference
ISBN : 0977675009
Author : William J. Stevenson
Publisher : Irwin/McGraw-Hill
Page : 0 pages
File Size : 44,56 MB
Release : 2007
Category : CD-ROMs
ISBN : 9780073252902
This text combines the market leading writing and presentation skills of Bill Stevenson with integrated, thorough, Excel modeling from Ceyhun Ozgur. Professor Ozgur teaches Management Science, Operations, and Statistics using Excel, at the undergrad and MBA levels at Valparaiso University --and Ozgur developed and tested all examples, problems and cases with his students. The authors have written this text for students who have no significant mathematics training and only the most elementary experience with Excel.
Author :
Publisher :
Page : 164 pages
File Size : 10,24 MB
Release : 2009
Category : Construction industry
ISBN :
Author : Kandethody M. Ramachandran
Publisher : Elsevier
Page : 825 pages
File Size : 46,69 MB
Release : 2014-09-14
Category : Mathematics
ISBN : 012417132X
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
Author : Gregory V. Bard
Publisher : American Mathematical Soc.
Page : 378 pages
File Size : 16,64 MB
Release : 2015-02-16
Category : Mathematics
ISBN : 1470411113
As the open-source and free competitor to expensive software like MapleTM, Mathematica®, Magma, and MATLAB®, Sage offers anyone with access to a web browser the ability to use cutting-edge mathematical software and display his or her results for others, often with stunning graphics. This book is a gentle introduction to Sage for undergraduate students toward the end of Calculus II (single-variable integral calculus) or higher-level course work such as Multivariate Calculus, Differential Equations, Linear Algebra, or Math Modeling. The book assumes no background in computer science, but the reader who finishes the book will have learned about half of a first semester Computer Science I course, including large parts of the Python programming language. The audience of the book is not only math majors, but also physics, engineering, finance, statistics, chemistry, and computer science majors.
