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Statistical models
Results: 4614

#	Item
791	NCEP Metrics for Evaluating Climate Models and Forecasts May 15, 2015 This document provides guidelines for evaluating the improvements in climate model performance to NCEP operational Climate Forecast System (CFS) and f Add to Reading List Source URL: www.cpc.ncep.noaa.gov Language: English - Date: 2015-05-18 04:48:52 Prediction Weather prediction Data analysis Forecasting Time series analysis Weather forecasting Madden–Julian oscillation Forecast skill Weather Atmospheric sciences Meteorology Statistical forecasting
792	1. Introduction 2. DLCA 3. Example with social capital Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-26 13:12:19 Latent class model Machine learning Mixture model Psychometrics Statistics Categorical data Statistical models
793	Designing Bayesian EWMA Monitors Using Gage R & R and Reliability Data by Spencer Graves, Søren Bisgaard, and Murat Kulachi Affiliations Add to Reading List Source URL: www.prodsyse.com Language: English - Date: 2007-09-13 19:35:22 Linear filters Design of experiments Kalman filter Robot control Statistical hypothesis testing Model theory Statistics Statistical inference Markov models
794	Stochastic Differential Equations: Models and Numerics 1 Jesper Carlsson Kyoung-Sook Moon Anders Szepessy Ra´ Add to Reading List Source URL: people.kth.se Language: English - Date: 2010-02-02 10:04:51 Equations Stochastic processes Differential equations Dynamical systems Statistical mechanics Stochastic differential equation Optimal control Partial differential equation Hamilton–Jacobi–Bellman equation Mathematical analysis Mathematics Calculus
795	Chapter 1 Rise of the Machines Larry Wasserman On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-02-16 16:55:39 Machine learning Expectation–maximization algorithm Errors-in-variables models Estimator Kernel density estimation M-estimator Minimax estimator Statistics Estimation theory Maximum likelihood
796	Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent D´epartement d’informatique et recherche op´erationnelle, Universit´e de Montr´eal Abstract Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 18:37:23 Statistical inference Monte Carlo methods Markov models Maximum likelihood Metropolis–Hastings algorithm Estimator Markov chain Multivariate normal distribution Bayesian network Statistics Estimation theory M-estimators
797	Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism Martin Huber, Michael Lechner , and Giovanni Mellace+ University of Fribourg University of St. Gallen Add to Reading List Source URL: www.eco.uc3m.es Language: English - Date: 2015-04-30 08:39:02 Regression analysis Labor economics Science Statistical models Dispute resolution Mediation Average treatment effect Propensity score Instrumental variable Statistics Econometrics Economics
798	Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models Sarfaraz Serang1, Zhiyong Zhang2, Jonathan Helm3, Joel S. Steele4, & Kevin J. Grimm5 1University of Southern California, 2Notre Dame Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-27 18:54:56 Psychometrics Statistical inference Monte Carlo software OpenBUGS Item response theory Mixture model Bayesian inference Statistics Statistical models Bayesian statistics
799	YOUR NEWSPAPER’S NAME HERE 2: SCIENCE FAIR YOUR NEWSPAPER’S NAME HERE Add to Reading List Source URL: tnnie.wpengine.com Language: English - Date: 2014-09-02 11:56:22 Design of experiments Evaluation methods Hypothesis testing Philosophy of science Experiment Statistical hypothesis testing Models of scientific inquiry Research Mathematics Science Knowledge Scientific method
800	Guide to Predictive Lead Scoring Lead scoring has an important role to play in modern B2B marketing and sales. It is a useful system for gauging a prospect’s likelihood of buying, allowing salespeople to prioritize t Add to Reading List Source URL: launchpoint.marketo.com Language: English - Date: 2014-12-12 17:46:27 Statistics Statistical models Customer experience management Electronic commerce Predictive analytics Lead scoring Predictive modelling Data mining Customer relationship management Business Marketing Business intelligence

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