Model Validation

The immediate reason for the creation of this book has been the advent of Basel II. This has forced many institutions with loan portfolios into building risk models, and, as a consequence, a need has arisen to have these models validated both internally and externally. What is surprising is that there is very little written that could guide consultants in carrying out these validations. This book aims to fill that gap.
217p vigro23 29082012 60 29 Download

Overview "Travel Demand Model Estimation and Validation: Experience from the USA ": Travel Demand Models, Model Calibration & Validation, Additional Information.
127p trinhhungvn 05052015 17 4 Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Stochastic modeling of oligodendrocyte generation in cell culture: model validation with timelapse data
8p toshiba17 31102011 23 1 Download

(BQ) In this paper, an easily implemented method is developed to describe the variations of EDM process, represented by gap states. On the basis of a time series of gap states from a machining process, the paper first studied a general descriptive model for EDM process, and then equivalently simplified the model for application; after spectral analysis, preprocessing of data, parameters selection and model validation proposed a welldefined model. Finally, by using this model structure and size, an online timevaried predictive model was developed.
10p xuanphuongdhts 27032017 3 1 Download

The estimation process begins by assuming or hypothesizing that the least squares linear regression model (drawn from a sample) is valid. The formal twovariable linear regression model is based on the following assumptions: (1) The population regression is adequately represented by a straight line: E(Yi) = μ(Xi) = β0 + β1Xi (2) The error terms have zero mean: E(∈i) = 0 (3) A constant variance (homoscedasticity): V(∈i) = σ2
12p truongdoan 10112009 85 16 Download

Validation of Communications Systems with SDL provides a clear practical guide to validating, by simulation, a telecom system modelled in SDL. SDL, the Specification and Description Language standardised by the International Telecommunication Union (ITUT), is used to specify and develop complex systems such as GSM, GPRS, UMTS, IEEE 802.11 or Hiperlan. Since the downturn in the telecom industry, validating a system before its implementation has become mandatory to reduce costs.
311p ken333 06072012 81 12 Download

Given a collection of records (training set ) Each record contains a set of attributes, one of the attributes is the class. Find a model for class attribute as a function of the values of other attributes. Goal: previously unseen records should be assigned a class as accurately as possible. A test set is used to determine the accuracy of the model. Usually, the given data set is divided into training and test sets, with training set used to build the model and test set used to validate it.
101p trinh02 18012013 46 9 Download

ORGANIZATIONL CHANGE THROUGH THE MANDATED IMOLEMENTATION OF NEW INFORMATION SYSTEMS TECHNOLOGY : A MODIFIED TECHNOLOGY ACCEPTANCE MODEL A second shortcoming of the validity literature is more fundamental. In a world in which student background characteristics are known to be correlated with academic success (i.e. with both SAT scores and collegiate grades), it is quite difficult to interpret validity estimates that fail to take account of these background characteristics.
207p mualan_mualan 25022013 28 7 Download

SWAT model was used to assess the impacts of climate change on the streamflow of Ben Hai River Basin. The daily streamflow for 1979  1996 and 1997  2006 was used to calibrate and validate the SWAT model, respectively. Nash efficiency values for the daily comparison were 0.72 for the calibration period and 0.74 for the validation period. Three scenarios were analyzed relative to the baseli ne with 28year time series. A doubling of the atmospheric C02 content to 660 ppm (while holding other climatic variables) resulted in a 7.
7p dem_thanh 22122012 22 4 Download

This study has two main goals: to construct a measuring instrument with which to evaluate the structural quality of faceted thesauri; and to determine the validity and reliability of this measuring instrument. The measuring instrument consists of gods, objectives, and criteria against which to measure the structural quality of faceted thesauri.
284p bigstar19 23042014 25 4 Download

The second question requires that we build an understanding of how the policy instrument effects production and productive efficiency. Our approach is similar to recent stochastic frontier analyses with panel data (Cornwell et al. (1990), Kumbhakar (1990)), which allow intercepts and some coefficients of the production function to vary between firms and over time.
92p loixinloi 08052013 41 3 Download

Medical imaging has been transformed over the past 30 years by the advent of computerized tomography (CT), magnetic resonance imaging (MRI), and various advances in xray and ultrasonic techniques. An enabling force behind this progress has been the (so far) exponentially increasing power of computers, which has made it practical to explore fundamentally new approaches.
270p echbuon 02112012 24 2 Download

Examines the potential of rulebased modeling as an analysis tool for investigating resource allocation policy issues.Focus is on resource allocation within B52 flying organizations of the Strategic Air Command (SAC). A rulebased computer system, DOSS (Decision Oriented Scheduling System), is demonstrated to provide a valid model of many variables that affect resource allocation of aircrews and ......
0p chieckhanpieu 26032013 17 2 Download

Frequency distribution models tuned to words and other linguistic events can predict the number of distinct types and their frequency distribution in samples of arbitrary sizes. We conduct, for the ﬁrst time, a rigorous evaluation of these models based on crossvalidation and separation of training and test data. Our experiments reveal that the prediction accuracy of the models is marred by serious overﬁtting problems, due to violations of the random sampling assumption in corpus data. We then propose a simple preprocessing method to alleviate such nonrandomness problems. ...
8p hongvang_1 16042013 26 2 Download

This paper presents a new model for word alignments between parallel sentences, which allows one to accurately estimate different parameters, in a computationally efficient way. An application of this model to bilingual terminology extraction, where terms are identified in one language and guessed, through the alignment process, in the other one, is also described. An experiment conducted on a small EnglishFrench parallel corpus gave results with high precision, demonstrating the validity of the model. ...
7p bunrieu_1 18042013 25 2 Download

Abstractlike text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level syntactic structure. We couch statistical sentence generation as a spanning tree problem in order to search for the best dependency tree spanning a set of chosen words. We also introduce a new search algorithm for this task that models argument satisfaction to improve the linguistic validity of the generated tree. ...
9p bunthai_1 06052013 23 2 Download

The task of paraphrase acquisition from related sentences can be tackled by a variety of techniques making use of various types of knowledge. In this work, we make the hypothesis that their performance can be increased if candidate paraphrases can be validated using information that characterizes paraphrases independently of the set of techniques that proposed them. We implement this as a biclass classiﬁcation problem (i.e. paraphrase vs. not paraphrase), allowing any paraphrase acquisition technique to be easily integrated into the combination system. ...
10p bunthai_1 06052013 19 2 Download

This lecture will teach you how to fit nonlinear functions by using bases functions and how to control model complexity. The goal is for you to: Learn how to derive ridge regression; understand the tradeoff of fitting the data and regularizing it; Learn polynomial regression; understand that, if basis functions are given, the problem of learning the parameters is still linear; learn crossvalidation; understand model complexity and generalization.
28p allbymyself_08 22022016 4 2 Download

In recent years, research in natural language processing has increasingly focused on normalizing SMS messages. Different welldeﬁned approaches have been proposed, but the problem remains far from being solved: best systems achieve a 11% Word Error Rate. This paper presents a method that shares similarities with both spell checking and machine translation approaches. The normalization part of the system is entirely based on models trained from a corpus. Evaluated in French by 10foldcross validation, the system achieves a 9.3% Word Error Rate and a 0.83 BLEU score. ...
10p hongdo_1 12042013 14 1 Download

(BQ)In this paper a new contribution to the simulation and modelling of the EDM process is presented. Temperature fields within the workpiece generated by the superposition of multiple discharges, as it happens during an actual EDM operation, are numerically calculated using a finite difference schema. The characteristics of the discharge for a given operation, namely energy transferred onto the workpiece, diameter of the discharge channel and material removal efficiency can be estimated using inverse identification from the results of the numerical model.
10p xuanphuongdhts 27032017 5 1 Download