Программы
Различные книги в жанре ПрограммыDiscovering Partial Least Squares with JMP
Partial Least Squares (PLS) is a flexible statistical modeling technique that applies to data of any shape. It models relationships between inputs and outputs even when there are more predictors than observations. Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores PLS and positions it within the more general context of multivariate analysis.
Ian Cox and Marie Gaudard use a “learning through doing†style. This approach, coupled with the interactivity that JMP itself provides, allows you to actively engage with the content. Four complete case studies are presented, accompanied by data tables that are available for download. The detailed “how to†steps, together with the interpretation of the results, help to make this book unique.
Discovering Partial Least Squares with JMP is of interest to professionals engaged in continuing development, as well as to students and instructors in a formal academic setting. The content aligns well with topics covered in introductory courses on: psychometrics, customer relationship management, market research, consumer research, environmental studies, and chemometrics. The book can also function as a supplement to courses in multivariate statistics and to courses on statistical methods in biology, ecology, chemistry, and genomics.
While the book is helpful and instructive to those who are using JMP, a knowledge of JMP is not required, and little or no prior statistical knowledge is necessary. By working through the introductory chapters and the case studies, you gain a deeper understanding of PLS and learn how to use JMP to perform PLS analyses in real-world situations.
This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.
This book is part of the SAS Press program.
Applied Data Mining for Forecasting Using SAS
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable.
Design and Analysis of Experiments by Douglas Montgomery
With a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an example-driven book that supports the most widely used textbook on the subject, Design and Analysis of Experiments by Douglas C. Montgomery. Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP meets this need and demonstrates all of the examples from the Montgomery text using JMP. In addition to scientists and engineers, undergraduate and graduate students will benefit greatly from this book. While users need to learn the theory, they also need to learn how to implement this theory efficiently on their academic projects and industry problems. In this first book of its kind using JMP software, Rushing, Karl and Wisnowski demonstrate how to design and analyze experiments for improving the quality, efficiency, and performance of working systems using JMP. Topics include JMP software, two-sample t-test, ANOVA, regression, design of experiments, blocking, factorial designs, fractional-factorial designs, central composite designs, Box-Behnken designs, split-plot designs, optimal designs, mixture designs, and 2 k factorial designs. JMP platforms used include Custom Design, Screening Design, Response Surface Design, Mixture Design, Distribution, Fit Y by X, Matched Pairs, Fit Model, and Profiler. With JMP software, Montgomery’s textbook, and Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP, users will be able to fit the design to the problem, instead of fitting the problem to the design. This book is part of the SAS Press program.
Real World Health Care Data Analysis
Discover best practices for real world data research with SAS code and examples Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient. The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include: propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods methods for comparing two interventions as well as comparisons between three or more interventions algorithms for personalized medicine sensitivity analyses for unmeasured confounding
SAS Viya
Learn how to access analytics from SAS Cloud Analytic Services (CAS) using Python and the SAS Viya platform. SAS Viya : The Python Perspective is an introduction to using the Python client on the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS. This book focuses on the perspective of SAS Viya from Python. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. The Python client is used to drive the CAS component directly using objects and constructs that are familiar to Python programmers. Some knowledge of Python would be helpful before using this book; however, there is an appendix that covers the features of Python that are used in the CAS Python client. Knowledge of CAS is not required to use this book. However, you will need to have a CAS server set up and running to execute the examples in this book. With this book, you will learn how to:Install the required components for accessing CAS from PythonConnect to CAS, load data, and run simple analysesWork with CAS using APIs familiar to Python usersGrasp general CAS workflows and advanced features of the CAS Python client SAS Viya : The Python Perspective covers topics that will be useful to beginners as well as experienced CAS users. It includes examples from creating connections to CAS all the way to simple statistics and machine learning, but it is also useful as a desktop reference.
Get Agile
Scrum is a project management method that dissolves boundaries and distributes responsibilities which in other methods have been protected for years. It is a radically different way of working: as many activities as possible take place at the same time, in the same room. Scrum is fast and delivers very high product quality at the same time. The book is a manual. It is aimed at everyone who works on interactive products in a design & development environment. It contains all of the basic information required for getting started with Scrum, but also offers a number of in-depth chapters looking at topics which even the most experienced Scrummers have trouble with on a daily basis. If you are experienced, you will find the advanced tips and tricks useful. If you are just considering Scrum, this book will most certainly get you enthusiastic!
Программное обеспечение для настройки протоколов верхнего уровня ad-hoc сетей
Протоколы маршрутизации беспроводных самоорганизующихся сетей (ad-hoc сетей) выполняют функции их организации, такие как определение связей и построение маршрутов между узлами. На качество работы сетей указанного вида оказывают существенное влияние выбранные параметры их протоколов. Большая часть известных протоколов предполагает, что их настройки должны быть заданы непосредственно перед вводом ad-hoc сети в эксплуатацию, после этого они будут сохраняться в течение всего времени её работы. Однако на сегодняшний день не существует единых методов подбора оптимальных параметров протоколов в практически значимых ситуациях, а введение произвольных значений параметров может привести к большому количеству отказов в работе сети. Целью проведённого исследования является повышение скорости развёртывания ad-hoc сетей связи за счёт автоматизации процедуры настройки параметров протокола, который лежит в основе организации передачи данных. Поставленная задача решена с помощью обобщённого метода определения параметров протоколов маршрутизации, основанного на эвристическом алгоритме оптимизации – методе поиска «косяком рыб» (Fish School Search, FSS). В ходе исследования представлен метод разработки программного обеспечения для оптимизации настройки протоколов верхнего уровня в ad-hoc сетях. Благодаря данному методу реализовано программное обеспечение, которое использует имитационную модель беспроводных самоорганизующихся сетей на базе сетевого симулятора OMNET++. Проведено исследование эффективности разработанного программного обеспечения для настройки параметров протокола AODV, которое подтвердило высокую эффективность предложенного подхода в практически значимых ситуациях развёртывания беспроводных сетей связи.
