A study into the use of micro-CT to ascertain the age at death of an individual. Introduction Age Estimation Often upon the discovery of skeletal remains‚ one of the most important steps in producing a biological profile of the deceased is to estimate a probable age-at-death range‚ the sex‚ ethnicity and stature of the individual (Franklin 2010). There are many different methods of doing this‚ depending on whether the skeleton is juvenile or adult. When aging a juvenile skeleton‚ there are many
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CIVIL ENGINEERING ESTIMATES An estimate is a calculation of the quantities of various items of work‚ and the expenses likely to be incurred there on. The total of these probable expenses to be incurred on the work is known as estimated cost of the work. The estimated cost of a work is a close approximation of its actual cost. The agreement of the estimated cost with the actual cost will depend on accurate use of estimating methods and correct visualization of the work‚ as it will be done. Importance
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Methods of Estimation of flood discharge 4.1 Introduction After estimating the change in rainfall‚ as described in chapter 3‚ the next step is to convert that rainfall change into a flood flow (an amount of water flowing in a river). This chapter looks at both screening and advanced tools that can be used to help river managers estimate changes in flood flows. Historical data and ongoing data campaigns are vital components of any forecasts of flood flows. Although climate change means that future
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Desautels Faculty of Management Advanced Business Statistics MGSC-372 Fall 2013 Secretary: Gina Ceolin Office: 484 Telephone: 398-4000 Ext. 09662 Office Hours: 9:00 am – 12 noon‚ 1:30 – 5:00 pm E-mail: gina.ceolin@mcgill.ca Teaching Assistant: Manaf Zargoush E-mail: zargoush@gmail.com Office Hours to be announced Course Materials Business Statistics: A Second Course. Second Custom Edition for McGill University‚ Pearson Custom Publishing‚ 2010. A copy of the student edition
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Estimator (MLE) is formulated to iteratively find the optimal calibration parameters that best fit to the onboard sensor readings‚ without requiring external attitude references. It is shown that the proposed calibration technique is equivalent to the estimation of a rotation‚ scaling and translation transformation‚ and that the sensor alignment matrix is given by the solution of the orthogonal Procrustes problem. Good initial conditions for the iterative algorithm are obtained by a suboptimal batch least
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A point estimation is a sample statistic that gives a good guess about a population parameter. In the same way‚ a point estimate of the mean overpayment is simply a good guess about what the average overpayment for the population is. Investigating all 1‚000 claims and obtaining the overpayment amount for each would either be impractical‚ unfeasible or both. Thus‚ the auditor deems a sample size of 50 claims to be adequate and sufficiently representative of the entire population. The mean overpayment
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rraNBP CONFERENCE „POTENTIAL OUTPUT AND BARRIERS TO GROWTH” ZALESIE GÓRNE 2003 Alternative Methods of Estimating Potential Output and the Output Gap: An Application to Sweden Valerie Cerra and Sweta Chaman Saxena 1 NBP CONFERENCE „POTENTIAL OUTPUT AND BARRIERS TO GROWTH” ZALESIE GÓRNE 2003 © 20030 International Monetary Fund WP/00/59 IMF Working Paper European I Department Alternative Methods of Estimating Potential Output and the Output Gap: An Application to Sweden
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Chapter 8: Cost Estimation Strategic Role of Cost Estimation * Cost Estimationthe development of a well-defined relationship b/t a cost object and its cost drivers for the purpose of predicting the cost * Facilitates strategic mgmt is 2 ways * Helps predict future costs * Helps identify key cost drivers for a cost object and which driver is most useful * Using Cost Estimation to Predict future costs * Strategic mgmt requires accurate estimates for the
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Understanding and Applying Kalman Filtering Lindsay Kleeman Department of Electrical and Computer Systems Engineering Monash University‚ Clayton 1 Introduction Objectives: 1. Provide a basic understanding of Kalman Filtering and assumptions behind its implementation. 2. Limit (but cannot avoid) mathematical treatment to broaden appeal. 3. Provide some practicalities and examples of implementation. 4. Provide C++ software overview. 2 What is a Kalman Filter and What Can It
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Enterprise Risk Management ISSN 1937-7916 2010‚ Vol. 1‚ No. 1: E9 Application of Servqual Model on Measuring Service Quality: A Bayesian Approach Dr. K. Ravichandran‚ Assistant Professor‚ College of Business Administration in Alkharj‚ King Saud University‚ P O Box 165‚ 11942‚ Alkharj‚ Saudi Arabia. Email: varshal2@yahoo.com Dr. S. Prabhakaran‚ Assistant Professor‚ College of Business Administration in Alkharj‚ King Saud University‚ P O Box 165‚ 11942‚ Alkharj‚ Saudi Arabia. Email: jopraba@gmail
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