Нож TSC 98-0580017-00LF for DA200 series

для принтера этикеток TE200/TE210

A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century. Recently, new developments have made major strides in such areas as non-continuous data where a linear model is not appropriate. This book introduces the reader to newer developments and more diverse regression models and methods for time series analysis. Accessible to anyone who is familiar with the basic modern concepts of statistical inference, Regression Models for Time Series Analysis provides a much-needed examination of recent statistical developments. Primary among them is the important class of models known as generalized linear models (GLM) which provides, under some conditions, a unified regression theory suitable for continuous, categorical, and count data. The authors extend GLM methodology systematically to time series where the primary and covariate data are both random and stochastically dependent. They introduce readers to various regression models developed during the last thirty years or so and summarize classical and more recent results concerning state space models. To conclude, they present a Bayesian approach to prediction and interpolation in spatial data adapted to time series that may be short and/or observed irregularly. Real data applications and further results are presented throughout by means of chapter problems and complements. Notably, the book covers: * Important recent developments in Kalman filtering, dynamic GLMs, and state-space modeling * Associated computational issues such as Markov chain, Monte Carlo, and the EM-algorithm * Prediction and interpolation * Stationary processes

TSC TE200 - настольный термотрансферный принтер для печати штрих-кодов на термо и термотрансферных этикетках. Для принтера этикеток TSC TE200 характерны два способа печати: термотрансферная печать и прямая термопечать, что позволяет применять его в различных сферах. Для прямой термопечати потребуется термоэтикетка (пример: термоэтикетка ЭКО). Для термотрансферной печати требуется термотрансферная этикетка полуглянец + красящая лента риббон WAX. Ширина печати до 108 мм. Максимальная ширина этикетки, ленты до 110 мм. Технические характеристики: - Флэш-память объемом 8 MB, SDRAM объемом 16 MB - 32-разрядный процессор RISC - язык программирования TSPL-EZD (совместимость с EPL, ZPL, ZPL II, DPL) - внешний диаметр внутреннего рулона носителя 127 мм, дополнительный внешний держатель для носителя позволяет использовать рулоны этикеток с внешним диаметром 214 мм. - бесплатные драйверы Windows и программное обеспечение для дизайна этикеток

203dpi

Производитель TSC Auto ID Technology Co. (Тайвань)

Артикул 99-065A101-00LF00

Тип печати: Термотрансферная

Разрешение печати (dpi): 203

Макс. ширина печати (мм): 108

Макс. нагрузка (этикеток в день): 4000

Параметры ролика этикеток

Внешний диаметр: 127 мм

Диаметр втулки: 25 или 40 мм

Параметры красящего ролика

Втулка и намотка любая - от 0,5 до 1 дюйма и от 74 до 300 метров.

Тип намотки: OUT

Датчики: Расстояния между этикетками, Черной метки, Окончания красящей ленты, Открытой печатающей головки

Внутренний намотчик: Нет

Отделитель: Нет

Отрезчик: Нет

Интерфейс: USB 2.0; RS-232;

Производитель TSC Auto ID Technology Co. (Тайвань)

Артикул 99-065A101-00LF00

Тип печати: Термотрансферная

Разрешение печати (dpi): 203

Макс. ширина печати (мм): 108

Макс. нагрузка (этикеток в день): 4000

Параметры ролика этикеток

Внешний диаметр: 127 мм

Диаметр втулки: 25 или 40 мм

Параметры красящего ролика

Втулка и намотка любая - от 0,5 до 1 дюйма и от 74 до 300 метров.

Тип намотки: OUT

Датчики: Расстояния между этикетками, Черной метки, Окончания красящей ленты, Открытой печатающей головки

Внутренний намотчик: Нет

Отделитель: Нет

Отрезчик: Нет

Интерфейс: USB 2.0; RS-232 - опционально; Bluetooth - опционально.

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent and systematic regression-based approach to model selection. The book illustrates these principles of model selection and model building through the use of information criteria, cross validation, hypothesis tests, and confidence intervals. Focusing on frequency- and time-domain and trigonometric regression as the primary themes, the book also includes modern topical coverage on Fourier series and Akaike's Information Criterion (AIC). In addition, Basic Data Analysis for Time Series with R also features: Real-world examples to provide readers with practical hands-on experience Multiple R software subroutines employed with graphical displays Numerous exercise sets intended to support readers understanding of the core concepts Specific chapters devoted to the analysis of the Wolf sunspot number data and the Vostok ice core data sets

SFP28 SR optic for XXV710 series

The importance of partial differential equations (PDEs) in modeling phenomena in engineering as well as in the physical, natural, and social sciences is well known by students and practitioners in these fields. Striking a balance between theory and applications, Fourier Series and Numerical Methods for Partial Differential Equations presents an introduction to the analytical and numerical methods that are essential for working with partial differential equations. Combining methodologies from calculus, introductory linear algebra, and ordinary differential equations (ODEs), the book strengthens and extends readers' knowledge of the power of linear spaces and linear transformations for purposes of understanding and solving a wide range of PDEs. The book begins with an introduction to the general terminology and topics related to PDEs, including the notion of initial and boundary value problems and also various solution techniques. Subsequent chapters explore: The solution process for Sturm-Liouville boundary value ODE problems and a Fourier series representation of the solution of initial boundary value problems in PDEs The concept of completeness, which introduces readers to Hilbert spaces The application of Laplace transforms and Duhamel's theorem to solve time-dependent boundary conditions The finite element method, using finite dimensional subspaces The finite analytic method with applications of the Fourier series methodology to linear version of non-linear PDEs Throughout the book, the author incorporates his own class-tested material, ensuring an accessible and easy-to-follow presentation that helps readers connect presented objectives with relevant applications to their own work. Maple is used throughout to solve many exercises, and a related Web site features Maple worksheets for readers to use when working with the book's one- and multi-dimensional problems. Fourier Series and Numerical Methods for Partial Differential Equations is an ideal book for courses on applied mathematics and partial differential equations at the upper-undergraduate and graduate levels. It is also a reliable resource for researchers and practitioners in the fields of mathematics, science, and engineering who work with mathematical modeling of physical phenomena, including diffusion and wave aspects.