HẼi phã³ng

You can subscribe to this list here. Showing 25 50 results of Help Create Join Login. Operations Management. IT Management. Project Management. Services Business VoIP. Resources Blog Articles Deals. Menu Help Create Join Login. Vega Strike Brought to you by: aceashiehdanielrhhellcatvand 3 others. Flat Threaded. Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Dec 8. Nov 7. Jan 8. Apr 2. May 4. Aug 4. Sep 2. Oct 4. Nov 2. Dec 9. Oct 7. May 1. Jun 3. Jul 3.Uploaded 10 months ago. The uploaded content will be moved to this newly created album.

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Select the images to upload. You can also browse from your computer or add image URLs. You can also browse from your devicetake a picture or add image URLs. Edit or resize any image by clicking the image preview. You can add more images from your computer or add image URLs. You can add more images from your devicetake a picture or add image URLs. The queue is being uploaded, it should take just a few seconds to complete.Two different variants of tau are computed, usually called taub and tauc.

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These measures differ only with regard as to how tied ranks are handled. In most cases these values will be fairly similar, and when discrepancies occur, it is probably always safest to interpret the lowest value. The Gamma statistic is preferable to Spearman R or Kendall tau when the data contain many tied observations. Thus, Gamma is basically equivalent to Kendall tau, except that ties are explicitly taken into account.

Detailed discussions of the Gamma statistic can be found in Goodman and Kruskal (1954, 1959, 1963, 1972), Siegel (1956), and Siegel and Castellan (1988). Multiple response variables or multiple dichotomies often arise when summarizing survey data. The nature of such variables or factors in a table is best illustrated with examples. As part of a larger market survey, suppose you asked a sample of consumers to name their three favorite soft drinks. Also, a wide variety of soft drinks will most likely be named.

The next question is how to enter the responses into a data file. Suppose 50 different soft drinks were mentioned among all of the questionnaires. This method of coding the responses would be very tedious and "wasteful. Alternatively, we could set up three variables, and a coding scheme for the 50 soft drinks.

Then we could enter the respective codes (or alpha labels) into the three variables, in the same way that respondents wrote them down in the questionnaire. To produce a table of the number of respondents by soft drink we would now treat Resp. Note that the counts in the first column of the table do not add up to 500, but rather to 842.

For example, referring back to the sample listing of the data file shown above, the first case (Coke, Pepsi, Jolt) "contributes" three times to the frequency table, once to the category Coke, once to the category Pepsi, and once to the category Jolt.

The second and third columns in the table above report the percentages relative to the number of responses (second column) as well as respondents (third column). Thus, the entry 8. Suppose in the above example we were only interested in Coke, Pepsi, and Sprite. As pointed out earlier, one way to code the data in that case would be as follows: COKE PEPSI SPRITE. In other words, one variable was created for each soft drink, then a value of 1 was entered into the respective variable whenever the respective drink was mentioned by the respective respondent.

In a sense, we "compact" the three variables Coke, Pepsi, and Sprite into a single variable (Soft Drink) consisting of multiple dichotomies. All of these types of variables can then be used in crosstabulation tables. For example, we could crosstabulate a multiple dichotomy for Soft Drink (coded as described in the previous paragraph) with a multiple response variable Favorite Fast Foods (with many categories such as Hamburgers, Pizza, etc.

As in the frequency table, the percentages and marginal totals in that table can be computed from the total number of respondents as well as the total number of responses. For example, consider the following hypothetical respondent: Gender Coke Pepsi Sprite Food1 Food2 FEMALE 1 1 FISH PIZZA This female respondent mentioned Coke and Pepsi as her favorite drinks, and Fish and Pizza as her favorite fast foods.

In the complete crosstabulation table she will be counted in the following cells of the table: Food. FEMALE MALE COKE PEPSI SPRITE COKE PEPSI SPRITE X X X X 2 2 This female respondent will "contribute" to (i. Paired Crosstabulation of Multiple Response Variables. A unique option for tabulating multiple response variables is to treat the variables in two or more multiple response variables as matched pairs.Starwood (2) odds 3.

Triple Jeopardy (4) odds 6. Drum Master (5) odds 2. Music Scene (6) odds Analysis STARWOOD won last start at Goondiwindi and expected to settle on speed, hard to go past. R6 1200m Class: BM75, Handicap 4:10PM Selections 5. Rooi Roe (3) odds 1. Saipan (4) odds 2. Zip to the Moon (8) odds 4. Bold Shot (7) odds Analysis ROOI ROE can't knock the form winning two in a row at Rockhampton and Doomben, big chance. R7 1300m Class: Class 1, Handicap 4:50PM Selections 6.

Bold Assassin (2) odds 7. Rapdays (3) odds 2. Occhilupo (7) odds 4. Rotindy (14) odds Analysis Hard to split the top two picks.

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Our Dasha (5) odds 8. Alexandra Demure (7) odds 3. Got Nothing (1) odds 4. R2 1280m Class: Maiden, Handicap 1:50PM Selections 1. Hinchman (6) odds 8. Sega Dancer (1) odds 2. Okina Yume (9) odds 5. Bubbaleenah (5) odds Analysis HINCHMAN only just missed last start, finishing half a length back from the winner at Hawkesbury and has a lot of early speed, serious player.He was appointed Office of the Order of the British Empire (OBE) in the Queen's 2011 Birthday Honours list.

Alan Smith is Data Visualisation Editor at the Financial Times in London. Please enter an email address. Please check Daily or Weekly and try again.

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Daily Weekly Your email address Please enter an email address. Please check your inbox for a confirmation email. JOIN NOW noel 'a Christmas carol' ballistic What makes a missile ballistic. Please tell us where you read or heard it (including the quote, if possible). Subscribe to America's largest dictionary and get thousands more definitions and advanced searchad free. What is an "intensive" purpose. How to speak about what is lostOr, Why Pig Meat is Called 'Pork' and Cow Meat is Called 'Beef'It is in fact a real word (but that doesn't mean you should use it).

One goose, two geese. What's up with that. What did each of these words mean to ancient Romans. Test your visual vocabulary with our 10-question challenge. SINCE 1828 Menu JOIN MWU Gain access to thousands of additional definitions and advanced search featuresad free.

Explore the year a word first appeared Definition of statistics 1 : a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data 2 : a collection of quantitative data NEW. Need even more definitions. Merriam-Webster unabridged Words at Play 'Wreck' and 'Reckless': Accidents Happen How to avoid a wreck 'For All Intensive Purposes': An Eggcorn What is an "intensive" purpose.

Words We're Watching: Adjectival 'Dad' 'Dad' is tinkering with a new use. Don't get us started on 'bimonthly' Irregardless It is in fact a real word (but that doesn't mean you should use it). Weird Plurals One goose, two geese. Word Games Intact Latin Quiz What did each of these words mean to ancient Romans.

Take the quiz November 2017 Words of the Day Quiz The post-feast quiz. Take the quiz Name That Thing Test your visual vocabulary with our 10-question challenge. Delivered to your inbox. Global, regional and country estimates for all-cause mortality, and deaths and disability-adjusted life years (DALYs) by age, sex and cause, are available for download. WHO Mortality DatabaseDatabase of annual death registration data on causes of death by age and sex as reported from civil registration systems of more than 100 Member States.

Provides critical data and analyses for over 30 health themes ranging from health systems to disease-specific themes, as well as direct access to the full database.That would be some point estimate given the covariates, as you say. Predict usually just returns a vector of predicted values, so it is a subset of what is needed for summary. Though right now, summary. Reply to this email directly, view it on GitHub, or mute the thread.

I never saw the value in having shorter output in the print method, e. I think some of those methods are a relic from the S-Plus days when most people would work on text terminals. We have much better tools these days for auto-generation of reports and so on, where people can arrange the output in a way that's useful to them. I predict using df. I am kind of "abusing" your package for fitting a GLM using the generalized gamma distribution you define in the package.

Five years ago, traditionalists decried influencer marketing as a fad that would not last. How wrong they were. While print advertising was already fading, television advertising was king. It is amazing how much has changed in the world of marketing in just half a decade. We are now in 2017 and influencer marketing is far more than just a buzzword.

It has become the de facto way to reach the savvy and cynical youngsters of Generations Y and Z. The influencer model is now maturing, as more refined methods are put into practice, platforms are becoming more iconic, and agencies realize that they need to jump on the influencer marketing bandwagon or else they will be left behind in the marketing Dark Ages.

So, how do we at the Influencer Marketing Hub expect influencer marketing to evolve over the remainder of this year. Here are our predictions for influencer marketing in 2017. Influencer marketing grew out of celebrity endorsement. It would be like trying to use Madonna to promote your range of heavy duty power tools - or Ronaldo to promote your opera glasses. They are micro-influencers - people who have high engagement and huge followings in a relatively niche area of interest.

We believe that 2017 will see a huge increase in the number of brands working with micro-influencers. Big brands will continue to work with celebrities, although even they will try to better align their brands with celebrities who are more relevant to their product. However, the bulk of brands will focus on working with laser-targeted micro-influencers. Celebrity influencers have always been paid - in many cases extremely well - to promote brands and their products.

Micro-influencers, however, have not always fared so well. To an extent, this is probably because of the organic way that relationships often develop. This is particularly the case when brands use influencers to amplify their own material. Often this relationship has been built up gradually, perhaps with a few comments on a blog or sharing an influencer's social media posts. Some brands try to speed the process up by providing incentives to influencers to help them out.

This has traditionally been through some form of barter.The key to this game will be the execution of the triple-option by both teams. The team that runs the ball more effectively with the fewest mistakes is almost certainly going to win. However, the passing game, which seems to matter less to these two teams than any other pair in the nation, may have something to say. The passing game can't be an afterthought for either team.


If Army can complete two or three passes in this game, it could give them the opportunity to stretch their winning streak in the series to two games. However, If Abey throws one or two TD passes that result in quick scores, that could turn things in Navy's direction. Navy has had a problem with fumbling, tying for 83rd in lost fumbles, while Army ranks tied for sixth in that category.

That will give Army the win in this low-scoring game that will stay under the 44. How this works: This forecast is based on 100,000 simulations of the season and updates after every game. EasternElo point spreadWin prob. Score Green Bay -8.

Score Kansas City -3. Score New Orleans -1. Score Kansas City -7. Score Green Bay -1. Score New Orleans -0. Score New England -6. Score Kansas City -0. American author, inventor and futurist Raymond Kurzweil has become well known for his predictions about artificial intelligence and the human species, mainly concerning the technological singularity.

He predicts that Artificial Intelligence would outsmart the human brain in computational capabilities by mid-21st century. His first book, The Age of Intelligent Machines, published in 1990, put forth his theories on the results of the increasing use of technology and predicted the explosive growth in the internet, among other predictions. Later works, 1999's The Age of Spiritual Machines and 2005's The Singularity is Near outlined other theories including the rise of clouds of nano-robots (nanobots) called foglets and the development of Human Body 2.

Kurzweil's first book, The Age of Intelligent Machines was published in 1990. It forecast the demise of the Soviet Union due to new technologies such as cellular phones and fax machines disempowering authoritarian governments by removing state control over the flow of information. He also stated that the Internet would explode not only in the number of users but in content as well, eventually granting users access "to international networks of libraries, data bases, and information services".

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