This book, 5th Ed, will benefit from scientific analysis seeking to design and conduct experiments properly, and to extract more information from the results, it can legitimately. It aims to be of value to the growing number of students specializing in analytical chemistry, and for those using analytical methods routinely in the laboratory work every day.
There are two additional and related reasons that have encouraged authors to write this book. One is the enormous impact of microelectronics in the form of microcomputers and hand-held calculators on the statistics: these devices have brought long or difficult statistical procedures available to all scientists. The second is the rapid development of new procedures "chemometrics, including pattern recognition, optimization, digital filter techniques, simulations, etc. are all made efforts to improve computing facilities. The last chapter of this book attempts to give the reader, at least an idea of the potential of some of these new statistical methods. Unfortunately not include any information on computer programs in this book.
To limit the duration of the work, and emphasize its practical orientation, the authors have made no attempt to describe in detail the theoretical background of the statistical tests described. But they have tried to make clear to the analyst that the practice tests are right for the types of problems that may occur in the laboratory. There are worked examples in the text, and exercises for the reader at the end of each chapter.
Overview of the chapters in this 5th edition:
The main areas where the new material has appeared in this edition are chapters 4-8. Chapter 4 includes a more comprehensive treatment of control charts and additional material on the uncertainty and proficiency testing schemes. In Chapter 5 there is more material on the use of the regression lines for comparisons method. Chapter 6 reflects the continued growth of the importance of robust methods, and Chapter 7 gives additional sections in the factorial design and simplex optimization method. The use of multiple methods is now commonplace, as Chapter 8 includes an extensive discussion of the principal components and partial least squares regression methods, and more on neural networks. In the first chapters of basic statistics of the main changes are the increased emphasis on test and Grubbs unusual movement in the methods section of Kolmogorov for Chapter 3. The bibliography of each chapter have been updated, with annotations significantly more than in the past, and with more emphasis on issues of standards organizations.
There are two additional and related reasons that have encouraged authors to write this book. One is the enormous impact of microelectronics in the form of microcomputers and hand-held calculators on the statistics: these devices have brought long or difficult statistical procedures available to all scientists. The second is the rapid development of new procedures "chemometrics, including pattern recognition, optimization, digital filter techniques, simulations, etc. are all made efforts to improve computing facilities. The last chapter of this book attempts to give the reader, at least an idea of the potential of some of these new statistical methods. Unfortunately not include any information on computer programs in this book.
To limit the duration of the work, and emphasize its practical orientation, the authors have made no attempt to describe in detail the theoretical background of the statistical tests described. But they have tried to make clear to the analyst that the practice tests are right for the types of problems that may occur in the laboratory. There are worked examples in the text, and exercises for the reader at the end of each chapter.
Overview of the chapters in this 5th edition:
The main areas where the new material has appeared in this edition are chapters 4-8. Chapter 4 includes a more comprehensive treatment of control charts and additional material on the uncertainty and proficiency testing schemes. In Chapter 5 there is more material on the use of the regression lines for comparisons method. Chapter 6 reflects the continued growth of the importance of robust methods, and Chapter 7 gives additional sections in the factorial design and simplex optimization method. The use of multiple methods is now commonplace, as Chapter 8 includes an extensive discussion of the principal components and partial least squares regression methods, and more on neural networks. In the first chapters of basic statistics of the main changes are the increased emphasis on test and Grubbs unusual movement in the methods section of Kolmogorov for Chapter 3. The bibliography of each chapter have been updated, with annotations significantly more than in the past, and with more emphasis on issues of standards organizations.
