This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model.
Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level. Overviews recent research on constructin
This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader. The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.
A reliable, accessible and comprehensive guide for students of photovoltaic applications and renewable energy engineering. This thoroughly considered textbook from a group of leading influential and award-winning authors is brimming with information and is carefully designed to meet the needs of its readers. Along with exercises and references at the end of each chapter, the book features a set of detailed technical appendices that provide essential equations, data sources and standards. Starting from basics with 'The Characteristics of Sunlight' the reader is guided step-by-step through semiconductors and p-n junctions; the behaviour of solar cells; cell properties ad design; and PV cell interconnection and module fabrication. The book covers stand-alone photovoltaic systems; specific purpose photovoltaic systems; remote are power supply systems; and grid-connected photovoltaic systems. There is also a section on photovoltaic water pumping system components and design. Applied Photovolatics is well illustrated and readable with an abundance of diagrams and illustrations, and will provide the reader with all the information needed to start working with photovoltaics.
The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference. KEY TOPICS: This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.
Modern Surgical Pathology, 2nd Edition presents today's most complete, current, and practical assistance in evaluating and signing out surgical specimens. Nearly 3,000 high-quality color pathology images provide a crystal-clear basis for comparison to any sample you see under the microscope. Clinical, gross, microscopic, immunohistochemical, and molecular genetic features are integrated as appropriate for all tumors and tumor-like lesions, addressing all of the investigative contexts relevant to formulating an accurate diagnosis. Edited by four leading surgical pathologists - Noel Weidner, MD, Richard J. Cote, MD, Saul Suster, MD and Lawrence M. Weiss, MD - with contributions from more than 70 other experts, Modern Surgical Pathology, 2nd Edition delivers the well-rounded, well-organized, richly illustrated, user-friendly guidance you need to efficiently arrive at confident diagnoses for even the most challenging lesions. Contributions from many leading surgical pathologists give you well-rounded, expert answers to any question that you may face. Clinical, gross, microscopic, immunohistochemical, and molecular genetic features are correlated as appropriate for every type of surgical pathology specimen, addressing all of the investigative contexts relevant to formulating an accurate diagnosis and thereby ensuring a completely accurate surgical report. Nearly 3,000 brand-new, high-quality color pathology images provide a crystal-clear basis for comparison to any specimen you see under the microscope. A completely rewritten section on the female reproductive tract offers many more illustrations of common entities to help you more easily distinguish between tumors and tumor-like lesions. Expanded coverage of non-neoplastic diseases and disorders makes it easier to recognize benign conditions that can mimic malignancy. The latest classification schemes and criteria for malignancy, incorporated throughout, enable you to include the most current gradings in your reports. A new, more consistent organization explores anatomy/histology, gross and microscopic appearance, adjunct techniques, diagnosis, and differential diagnosis for each neoplastic or non-neoplastic lesion, facilitating rapid consultation in the reporting room. An increased number of differential diagnosis and classification tables expedite diagnosis.
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