From helping to assess the value of new medical treatments to Evaluating the factors that affect our opinions and behaviors, analysts today are finding myriad uses for categorical data methods. In this book we introduce these methods and the theory behind them. Statistical methods for categorical responses were late in gaining the level of sophistication achieved early in the twentieth century by methods for continuous responses. Despite influential work around 1900 by the British statistician Karl Pearson, relatively little development of models for categorical responses occurred until the 1960s. In this book we describe the early fundamental work that still has importance today but place primary emphasis on more recent modeling approaches. Before outlining
标签： Evaluating treatments the helping
上传时间： 2014-01-25
上传用户：jennyzai
Evaluating the accuracy of soil water sensors for irrigation scheduling to conserve freshwater
标签： Evaluating accuracy sensors water soil the of
上传时间： 2016-07-01
上传用户：carlus
Methods for designing a maintenance simulation training system for certain kind of radio are introduced. Fault modeling method is used to establish the fault database. The system sets up some typical failures， follow the prompts trainers can locate the fault source and confirm the type to accomplish corresponding fault maintenance training. A training evaluation means is given to examining and Evaluating the training performance. The system intuitively and vividly shows the fault maintenance process， it can not only be used in teaching， but also in daily maintenance training to efficiently improve the maintenance operation level. Graphical programming language LabVIEW is used to develop the system platform.
上传时间： 2013-11-19
上传用户：3294322651
The Maxim Integrated 71M6541-DB REV 3.0 Demo Board is a demonstration board for Evaluating the 71M6541 device for single-phase electronic energy metering applications in conjunction with the Remote Sensor Inter-face. It incorporates a 71M6541 integrated circuit, a 71M6601 Remote Interface IC, peripheral circuitry such as a serial EEPROM, emulator port, and on-board power supply. A serial to USB converter allows communication to a PC through a USB port. The Demo Board allows the evaluation of the 71M6541 energy meter chip for measurement accuracy and overall system use.
上传时间： 2013-11-06
上传用户：雨出惊人love
The power of programmability gives industrial automation designers a highly efficient， cost-effective alternative to traditional motor control units （MCUs）。 The parallel-processing power， fast computational speeds， and connectivity versatility of Xilinx® FPGAs can accelerate the implementation of advanced motor control algorithms such as Field Oriented Control （FOC）。 Additionally， Xilinx devices lower costs with greater on-chip integration of system components and shorten latencies with high-performance digital signal processing （DSP） that can tackle compute-intensive functions such as PID Controller， Clark/Park transforms， and Space Vector PWM. The Xilinx Spartan®-6 FPGA Motor Control Development Kit gives designers an ideal starting point for Evaluating time-saving， proven， motor-control reference designs. The kit also shortens the process of developing custom control capabilities， with integrated peripheral functions （Ethernet， PowerLink， and PCI® Express）， a motor-control FPGA mezzanine card （FMC） with built-in Texas Instruments motor drivers and high-precision Delta-Sigma modulators， and prototyping support for Evaluating alternative front-end circuitry.
上传时间： 2013-10-28
上传用户：wujijunshi
Sequential Monte Carlo without Likelihoods 粒子滤波不用似然函数的情况下 本文摘要:Recent new methods in Bayesian simulation have provided ways of Evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.
标签： Likelihoods Sequential Bayesian without
上传时间： 2016-05-26
上传用户：离殇
Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful pictures such as the one shown above. Any fractal can be described using iterative formulas. So you can generate a fractal by Evaluating these formulas and finding the color of each pixel. That is a large computational task, and drawing a fractal needs a fast CPU and a carefully optimized program.
标签： Generating SSE beautiful Fractals
上传时间： 2016-11-03
上传用户：小鹏
A large body of computer-aided techniques has been developed in recent years to assist in the process of modeling, analyzing, and designing communication systems . These computer-aided techniques fall into two categories: formula-based approaches, where the computer is used to evaluate complex formulas, and simulation-based approaches, where the computer is used to simulate the waveforms or signals that flow through the system. The second approach, which involves “waveform”-level simulation (and often incorporates analytical techniques), is the subject of this book. Since performance evaluation and trade off studies are the central issues in the analysis and design of communication systems, we will focus on the use of simulation for Evaluating the performance of analog and digital communication systems with the emphasis on digitalcommunication systems.
标签： computer-aided techniques developed assist
上传时间： 2014-01-01
上传用户：541657925
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, Evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
Regardless of the branch of science or engineering, theoreticians have always been enamored with the notion of expressing their results in the form of closed-form expressions. Quite often, the elegance of the closed-form solution is overshadowed by the complexity of its form and the difficulty in Evaluating it numerically. In such instances, one becomes motivated to search instead for a solution that is simple in form and simple to evaluate.
标签： Communication Channels Digital Fading over 1st
上传时间： 2020-05-27
上传用户：shancjb
