Working Paper 05-47 Statistics and Econometrics Series 09 July 2005 Departamento de Estadística Universidad Carlos III de Madrid Calle Madrid‚ 126 28903 Getafe (Spain) Fax (34) 91 624-98-49 BAYESIAN INFERENCE FOR THE HALF-NORMAL AND HALF-T DISTRIBUTIONS M.P. Wiper‚ F.J. Girón‚ A. Pewsey* Abstract In this article we consider approaches to Bayesian inference for the half-normal and half-t distributions. We show that a generalized version of the normal- gamma distribution is conjugate to the
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football fans on the go‚ STATS delivers a customized mobile Web product with complete season editorial and statistics. iPhone Application STATS’ developers have engineered a premium white-label iPhone Solution. STATS delivers branded standalone iPhone applications covering all the exciting global football action. Fantasy Games STATS stands alone as the only innovative provider of sports statistics and fantasy game development. STATS can provide predictors or comprehensive white-label fantasy solutions
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Omkar & Yaying Wednesday 5-6pm WEEK 3 BES PASS Descriptive Statistics Population - a set of all possible observations. Sample - a portion of a population. We often use information concerning a sample to make an inference (conclusion) about the population. Parameter - describes a characteristic of the population‚ eg: the population variance Statistic- describes a characteristic of a sample‚ eg: the sample variance Frequency Distribution and Histograms Class - a collection of
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Week 4 15.18 Sixty-four students in an introductory college economics class were asked how many credits they had earned in college‚ and how certain they were about their choice of major. Research question: At α = .01‚ is the degree of certainty independent of credits earned? Certaint Credits Earned | Very Uncertain | Somewhat certain | Very Certain | Row Total | 0–9 | 12 | 8 | 3 | 23 | 10 to 59 | 8 | 4 | 10 | 22 | 60 or more | 1 | 7 | 11 | 19 | Col Total | 21 | 19 | 24 | 64 |
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BE01106 - BUSINESS STATISTICS ASSIGNMENT – PART I SEMESTER 2‚ 2014 _________________________________________________________________________ The complete BEO1106 assignment (all three parts) accounts for 20% of the overall assessment in the unit. This first part of the BEO1106 assignment is to be completed in your own time and must be submitted for correction in the tutorial of week 6. No time extensions will be granted although special consideration applications may be accepted from students
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Today‚ 564‚708 people in the U.S. are homeless (“2016’s Shocking Homelessness Statistics”). As we speak‚ the rate of homelessness continues to rise. There are many reasons for homelessness: national debt‚ natural disasters‚ and unemployment. Although national debt and natural disasters are important factors of homelessness‚ society mainly focuses on unemployment and limited job opportunities. In fact‚ society stigmatizes homeless people as lazy and hopeless individuals. For example‚ many people think
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EXERCISE IN STATISTICS Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each. 1. Are sex and occupation associated? 2. Are age and income correlated? 3. Are educational attainment and sex associated? 4. Are civil status and occupation associated? 5. Are occupation and income related N>E> you may use data transformation (from interval data to nominal data) Respondent No. Age Sex Civil Status Educational attainment
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How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? Statistics are of value to us all. As learned throughout the readings for this week‚ they are there to provide us vast amount of data related to health care‚ including why a drug may be indicated for a certain treatment (or the likelihood of it working); parameters for disease signs and symptoms; and even the prevalence of certain disease(s) within our areas to ensure competent care can be provided
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R=0.86434 is positive and close to 1‚ it suggests that there is a strong positive relationship between the shoe size and the height. Next‚ let’s formulate the following data (see SHOW SIZE DATA) Using Excel to get the following descriptive statistics for both variables:
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Muli‚ Laurah N. BSMA 2C Table 1 shows the descriptive statistics about the 74 models of automobiles released in the year 1978‚ these include the automobiles’ price‚ mileage‚ repair record‚ headroom‚ trunk space‚ weight‚ length‚ turn circle‚ displacement and the gear ratio with its corresponding results. In terms of automobiles’ price‚ it ranges to $3‚291.00 up to $15‚906.00 for the period of the said year. Its average price is $6‚165.26 with a standard deviation of $2‚949.50. It can be seen
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