Solutions Manual to Accompany Introduction to Linear Regression Analysis, Montgomery Douglas C., Peck Elizabeth A., Vining G. Geoffrey
Старое издание
Автор: Hadzovic, Alen (university Of Toronto) Название: Solutions manual to accompany inorganic chemistry 7th edition ISBN: 0198814682 ISBN-13(EAN): 9780198814689 Издательство: Oxford Academ Рейтинг: Цена: 6176.00 р. Наличие на складе: Поставка под заказ.
Описание: As you master each chapter in Inorganic Chemistry, having detailed solutions handy allows you to confirm your answers and develop your ability to think through the problem-solving process.
The definitive textbook on the chemical analysis of pharmaceutical drugs - fully revised and updated
Introduction to Pharmaceutical Analytical Chemistry enables students to gain fundamental knowledge of the vital concepts, techniques and applications of the chemical analysis of pharmaceutical ingredients, final pharmaceutical products and drug substances in biological fluids. A unique emphasis on pharmaceutical laboratory practices, such as sample preparation and separation techniques, provides an efficient and practical educational framework for undergraduate studies in areas such as pharmaceutical sciences, analytical chemistry and forensic analysis. Suitable for foundational courses, this essential undergraduate text introduces the common analytical methods used in quantitative and qualitative chemical analysis of pharmaceuticals.
This extensively revised second edition includes a new chapter on chemical analysis of biopharmaceuticals, which includes discussions on identification, purity testing and assay of peptide and protein-based formulations. Also new to this edition are improved colour illustrations and tables, a streamlined chapter structure and text revised for increased clarity and comprehension.
Introduces the fundamental concepts of pharmaceutical analytical chemistry and statistics
Presents a systematic investigation of pharmaceutical applications absent from other textbooks on the subject
Examines various analytical techniques commonly used in pharmaceutical laboratories
Provides practice problems, up-to-date practical examples and detailed illustrations
Includes updated content aligned with the current European and United States Pharmacopeia regulations and guidelines
Covering the analytical techniques and concepts necessary for pharmaceutical analytical chemistry, Introduction to Pharmaceutical Analytical Chemistry is ideally suited for students of chemical and pharmaceutical sciences as well as analytical chemists transitioning into the field of pharmaceutical analytical chemistry.
Описание: With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!
Fully-worked solutions to problems encountered in the bestselling differentials text
Introduction to Ordinary Differential Equations, Student Solutions Manual, 4th Edition provides solutions to practice problems given in the original textbook. Aligned chapter-by-chapter with the text, each solution provides step-by-step guidance while explaining the logic behind each step in the process of solving differential equations. From first-order equations and higher-order linear differentials to constant coefficients, series solutions, systems, approximations, and more, this solutions guide clarifies increasingly complex calculus with practical, accessible instruction.
Автор: Montgomery Douglas C., Peck Elizabeth A., Vining G. Geoffrey Название: Introduction to Linear Regression Analysis ISBN: 1119578728 ISBN-13(EAN): 9781119578727 Издательство: Wiley Рейтинг: Цена: 19317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: INTRODUCTION TO LINEAR REGRESSION ANALYSIS
A comprehensive and current introduction to the fundamentals of regression analysis
Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.
The new edition focuses on four key areas of improvement over the fifth edition:
New exercises and data sets
New material on generalized regression techniques
The inclusion of JMP software in key areas
Carefully condensing the text where possible
Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today's cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.
Автор: Kolluri Bharat Название: Solutions Manual to Accompany Introduction to Quantitative M ISBN: 1119221021 ISBN-13(EAN): 9781119221029 Издательство: Wiley Рейтинг: Цена: 4110.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R).
Автор: Joseph K. Blitzstein, Jessica Hwang Название: Introduction to Probability, Second Edition ISBN: 1138369918 ISBN-13(EAN): 9781138369917 Издательство: Taylor&Francis Рейтинг: Цена: 11176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.
Описание: A solutions manual to accompany An Introduction toNumerical Methods and Analysis, Second Edition An Introduction to Numerical Methods and Analysis, SecondEdition reflects the latest trends in the field, includesnew material and revised exercises, and offers a unique emphasis onapplications.
Описание: A solutions manual to accompany An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R)
With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R)guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques.
The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe how a quantity changes from one point in time to the next. Readers are taken through the process, language, and notation required for the construction of such models as well as their implementation in Excel. The book examines single-compartment models in contexts such as population growth, personal finance, and body weight and provides an introduction to more advanced, multi-compartment models via applications in many areas, including military combat, infectious disease epidemics, and ranking methods. Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel(R) also features:
A modular organization that, after the first chapter, allows readers to explore chapters in any order
Numerous practical examples and exercises that enable readers to personalize the presented models by using their own data
Carefully selected real-world applications that motivate the mathematical material such as predicting blood alcohol concentration, ranking sports teams, and tracking credit card debt
References throughout the book to disciplinary research on which the presented models and model parameters are based in order to provide authenticity and resources for further study
Relevant Excel concepts with step-by-step guidance, including screenshots to help readers better understand the presented material
Both mathematical and graphical techniques for understanding concepts such as equilibrium values, fixed points, disease endemicity, maximum sustainable yield, and a drug's therapeutic window
A companion website that includes the referenced Excel spreadsheets, select solutions to homework problems, and an instructor's manual with solutions to all homework problems, project ideas, and a test bank
Описание: Praise for the First Edition "... outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises. " -Zentrablatt Math "... carefully structured with many detailed worked examples... " -The Mathematical Gazette "...
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