ISBN: 978-0-470-53068-9
Hardcover
580 pages
January 2012
This book discusses special modifications and extensions of designs that arise in certain fields of application such as genetics, bioinformatics, agriculture, medicine, manufacturing, marketing, etc. Well-known and highly-regarded contributors have written individual chapters that have been extensively reviewed by the Editor to ensure that each individual contribution relates to material found in Volumes 1 and 2 of this book series. The chapters in Volume 3 have an introductory/historical component and proceed to a more advanced technical level to discuss the latest results and future developments in the field. Thus, Volume 3 serves as supplement to both Volume 1 and Volume 2 and is also accessible not only to statistics graduate students, but also to non-statistical readers. Where appropriate, numerical examples using the statistical software SAS are included in the book. Topical coverage includes: genetic cross experiments; designs for microarrays; incomplete cross-over designs; clinical trials; group sequential designs; adaptive designs; choice experiments; taste-testing experiments; grazing experiments; inter-cropping and competition designs; greenhouse experiments; long-term agricultural experiments; designs for circular and directional data; trend-free designs; one-at-a-time factorial designs; sequential fractional factorial designs; irregular fractional factorial designs; split-plot type response surface designs; multi-response designs; and computer experiments.
December 2011
Crossing the River with Dogs: Problem Solving for College Students, 2nd edition promotes the philosophy that students learn best by working in groups and the skills required for real workplace problem solving are those skills of collaboration. The text aims to improve studentsf writing, oral communication, and collaboration skills while teaching mathematical problem-solving strategies. Focusing entirely on problem solving and using issues relevant to college students for examples, the authors continue their approach of explaining classic as well as non-traditional strategies through dialogs among fictitious students. This text is appropriate for a problem solving, quantitative reasoning, liberal arts mathematics, mathematics for elementary teachers, or developmental mathematics course.
Preface Vii
Instructor Resources X
Acknowledgments Xi
Introduction 1
1 Draw A Diagram 11
2 Make A Systematic List 29
3 Eliminate Possibilities 49
4 Use Matrix Logic 75
5 Look For A Pattern 117
6 Guess And Check 147
7 Identify Subproblems 177
8 Analyze The Units 201
9 Solve An Easier Related Problem 237
10 Create A Physical Representation 269
11 Work Backwards 299
12 Draw Venn Diagrams 325
13 Convert To Algebra 355
14 Evaluate Finite Differences 385
15 Organize Information In More Ways 419
16 Change Focus In More Ways 449
17 Visualize Spatial Relationships 477
Appendix 507
Unit Analysis
Adding, Subtracting, Multiplying, And Dividing Fractions
Area And Volume Formulas
Properties Of Triangles
Properties Of Numbers
Glossary 000
Bibliography 000
Index Of Problem Titles 000
General Index 000
Photo Credits 000
Answers To More Practice Problems 000
ISBN: 978-0-470-97128-4
Hardcover
528 pages
January 2012
This book introduces customer satisfaction surveys, with focus on the classical problems of analysing them, which include; missing values, outliers, sampling techniques, integration of different data sources, as well as modern and non-standard tools. Each chapter describes, in detail, a different technique that is applied to the standard data set along with R scripts featuring on a supporting website.
Most of the techniques featured in this book are applied to a standard set of data collected from 266 companies (customers) participating in the Annual Customer Satisfaction Survey (ACSS) of a global company. The data refers to a questionnaire consisting of 81 questions that covered a wide range of service and product perspectives.
ISBN: 978-1-1181-1775-0
Hardcover
768 pages
December 2011
This book explores the differential calculus and its plentiful applications in engineering and the physical sciences. The first six chapters offer a refresher of algebra, geometry, coordinate geometry, trigonometry, the concept of function, etc. since these topics are vital to the complete understanding of calculus. The book then moves on to the concept of limit of a function. Suitable examples of algebraic functions are selected, and their limits are discussed to visualize all possible situations that may occur in evaluating limit of a function, other than algebraic functions. Also, applications and limitations of this definition, along with the algebra of limits (i.e. limit theorems) are discussed. Finally, Sandwich theorem, which is useful for evaluating limit(s) of trigonometric functions, is proved, and the concept of onesided limits is introduced. The methods for computing limits of algebraic functions are discussed, and the concept of continuity and related concepts are also featured at length. Suitable examples of functions and their graphs are selected carefully to prevent reader confusion. Classification of the points of discontinuity is explained, and the methods for checking continuity of functions involving trigonometric, exponential, and logarithmic functions are discussed through solved examples. Theorems on continuity of functions (i.e. algebra of continuous functions) are stated without proof. Also, very important theorems on continuity (without proof) are provided.
ISBN: 978-0-470-40231-3
Hardcover
434 pages
January 2012
The Third Edition retains the general organization of the prior two editions, but it incorporates new material throughout the text. The book is organized into six parts: Part I covers basic sampling from simple random sampling to unequal probability sampling; Part II treats the use of auxiliary data with ratio and regression estimation and looks at the ideas of sufficient data, model, and design in practical sampling; Part III covers major useful designs such as stratified, cluster and systematic, multistage, and double and network sampling; Part IV examines detectability methods for elusive populations, and basic problems in detectability, visibility, and catchability are discussed; Part V concerns spatial sampling with the prediction methods of geostatistics, considerations of efficient spatial designs, and comparisons of different observational methods including plot shapes and detection aspects; and Part VI introduces adaptive sampling designs in which the sampling procedure depends on what is observed during the survey. For this new edition, the author has focused on thoroughly updating the book with a special emphasis on the first 14 chapters since these topics are invariably covered in basic sampling courses. The author has also implemented new approaches to explain the various techniques in the book, and as a result, new examples and explanations have been added throughout. In an effort to improve the presentation and visualization of the book, new figures as well as replacement figures for previously existing figures have been added. This book has continuously stood out from other sampling texts since the figures evoke the idea of each sampling design. The new figures will help readers to better visualize and understand the underlying concepts such as the different sampling strategies.