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If you wish to go to ZacksTrade, click OK. If you do not, click Cancel. Visit the Earnings ESP Center See the Full List of Stocks To Beat Earnings 4 Tech Stocks Likely to Outperform This Earnings Season Enrich Your Portfolio With 5 Food Stocks Set to Beat Earnings Will Soft Comps Hurt Cheesecake Factory (CAKE) Q3 Earnings. Sherwin-Williams (SHW) Q4 Earnings: What's in the Cards. Real time prices by BATS. Delayed quotes by Sungard.

NYSE and AMEX data is at least 20 minutes delayed. NASDAQ data is at least 15 minutes delayed. Space weather refers to changes in the space environment, particularly the region between the Earth and Sun.

The "solar wind" from the Sun stream past the Earth and is mostly deflected by the Earth's magnetic field, but variations in the solar wind cause changes in the Earth's magnetic field. Occasionally, a huge release of magnetic energy, called a solar flare, occurs on the Sun.

Flares can produce large quantities of x-rays which affect the Earth's atmosphere. They can also accelerate atomic particles (mostly protons) to very high speeds (a substantial fraction of the speed of light.

These high energy particles are dangerous to man and can reach the stratosphere where jetliners fly. Most aspects of space weather affect us to some extent. The more our society becomes dependent on technology and the more we utilise space, the more we are affected by space weather. Some aspects of space weather are benevolent, and allow activities not otherwise possible such as long range radio communications. Some aspects are benign but fascinating such as the Aurora, and some are malevolent.

Like terrestrial weather, it sometimes depends on the situation and the event. The image below is an artists impression of the solar wind interacting with the Earth's magnetic field. Home Forums Movies Oscars 2018 Nominations: Part 6 (Predict Today. The Shape Of Water Three Billboards Outside Ebbing, MissouriDIRECTOR Darren Aronofsky, mother.

Frances McDormand, Three Billboards Outside Ebbing, MissouriSupporting Actor: Sam Rockwell, Three Billboards Outside Ebbing, Missouri Alt. Michael Stuhlbarg, Call Me By Your NameWith the past few years of voting patterns, and seeming openness of this year, it seems pretty ripe for a very spread out field of winners.

The best awards season in years. No definite frontrunners in most categories. One thing is for sure: Best Picture will once again go to an Independent film. As it has for the past 8 years, except for Argo.

The preferential ballot somehow is just taylor made for passion choices. Where academy voters appreciate a well made, economical budgeted film. The film you feel bad about not voting for. Call Me By Your Name 3.The probability of type I error is therefore the probability that the estimator belongs to the critical region given that null hypothesis is true (statistical significance) and the probability of type II error is the probability that the estimator doesn't belong to the critical region given that the alternative hypothesis is true.

The statistical power of a test is the probability that it correctly rejects the null hypothesis when the null hypothesis is false. Referring to statistical significance does not necessarily mean that the overall result is significant in real world terms. For example, in a large study of a drug it may be shown that the drug has a statistically significant but very small beneficial effect, such that the drug is unlikely to help the patient noticeably.

While in principle the acceptable level of statistical significance may be subject to debate, the p-value is the smallest significance level that allows the test to reject the null hypothesis. This is logically equivalent to saying that the p-value is the probability, assuming the null hypothesis is true, of observing a result at least as extreme as the test statistic.

Therefore, the smaller the p-value, the lower the probability of committing type I error. Some problems are usually associated with this framework (See criticism of hypothesis testing):Some well-known statistical tests and procedures are:Misuse of statistics can produce subtle, but serious errors in description and interpretationsubtle in the sense that even experienced professionals make such errors, and serious in the sense that they can lead to devastating decision errors.

For instance, social policy, medical practice, and the reliability of structures like bridges all rely on the proper use of statistics. Even when statistical techniques are correctly applied, the results can be difficult to interpret for those lacking expertise. The statistical significance of a trend in the datawhich measures the extent to which a trend could be caused by random variation in the samplemay or may not agree with an intuitive sense of its significance.

The set of basic statistical skills (and skepticism) that people need to deal with information in their everyday lives properly is referred to as statistical literacy. There is a general perception that statistical knowledge is all-too-frequently intentionally misused by finding ways to interpret only the data that are favorable to the presenter.

In an attempt to shed light on the use and misuse of statistics, reviews of statistical techniques used in particular fields are conducted (e. Warne, Lazo, Ramos, and Ritter (2012)). Thus, people may often believe that something is true even if it is not well represented. Statistical analysis of a data set often reveals that two variables (properties) of the population under consideration tend to vary together, as if they were connected.

For example, a study of annual income that also looks at age of death might find that poor people tend to have shorter lives than affluent people. The correlation phenomena could be caused by a third, previously unconsidered phenomenon, called a lurking variable or confounding variable. For this reason, there is no way to immediately infer the existence of a causal relationship between the two variables.You can help by expanding it with reliably sourced entries.

Archived from the original on January 13, 2013. Retrieved August 6, 2017. Journal of Greco-Roman Christianity and Judaism. Archived from the original on August 6, 2017. Archived from the original on May 14, 2016. Archived from the original on February 27, 2011.

Little Children Are Innocent, and All Will Be SavedGod, a Personage of TabernacleThe Life of the Savior, a Life of SufferingSecond Coming of Christ. Retrieved Oct 16, 2016. Things to Comeand the Present European Situation" (Reprint). Watchtower Bible and Tract Society of New York. Archived from the original on August 9, 2017.

Retrieved August 9, 2017. Archived from the original on May 26, 2012. Archived from the original on July 13, 2012. Retrieved May 23, 2011. Archived from the original on May 26, 2017. Archived from the original on August 7, 2017. Retrieved August 7, 2017. Archived from the original on July 7, 2012. Retrieved August 6, 2011. Archived from the original on May 9, 2008.In the battle with Amazon, Google is betting on its Shopping services to attract merchants and customers alike.

A raft of product announcements has arrived just in time for the holiday season, including new ad formats and AdWords reports. What do marketers need to know, and will these new products be enough to take market share back from Amazon. Say goodbye to Google with these 14 alternative search engines, covering everything from information, images, videos, facts and stats. What is a meta description. How do you write one. Why are meta descriptions important.

Do they actually help with search engine optimisation. Can I see some good and bad examples. There is another way. Get top insights and news from our search experts. Subscribe Visit us on: rhc-mpu-ad-slot1 googletag. How to write meta descriptions for SEO (with good and bad examples) What is a meta description.

Get top insights and news from our search experts Subscribe No thanks, I am not interested No thanks. Ask me later please. It is another form of word-of-mouth marketing and has proven time and time again to be an extremely effective form of marketing. On the other hand, Yelp published an article telling businesses not to ask their customers for reviews.

To avoid a biased perspective of your company to ensure that they continue to produce reliable content for their users. The implications here are clear: "If consumers don't trust our content, people stop using Yelp, and everyone loses: consumers don't have a resource they can trust to make spending decisions, and would-be customers stop visiting your business.

Here are 8 easy ways to do so. The first step to getting customers to leave a positive review with you is to deliver what you promised, and more.To delete it, click its ID number and then click the Delete button. Here, you can edit, add to, or remove items from the default list of offensive terms. Keep in mind that this list contains offensive language. If you add to the list of of offensive terms, be sure to only use alphanumeric characters (letters and numbers).

If you want to evaluate all reviews before they're published, you can add a few filter terms that would exist in any written review. In effect, the filter will consider all reviews as offensive and hide them until you review and approve them, or delete them. In this case, the review would not be filtered and would publish automatically. The only way to guarantee that all reviews are filtered is to create a filter term for every possible number, special character, and letter (not just vowels).

From the Filter menu, select Offensive Reviews. To approve a review so that it displays on the product's details page, click the ID number of the review you want to approve, make any appropriate changes, select the Active check box, and save. The content filter is not case sensitive. If any content within a review matches any entry in the filter word list, the review will remain hidden until you take further action.

If the offending word appears as part of an otherwise acceptable word, the review will be hidden (for example, any review containing the word "scrapbook" would be filtered due to ID number 12 in the offensive word list). In some cases, a customer might use offensive language in a positive review. You can decide whether to edit the offensive language and activate the review, it or leave it inactive or delete it. The decision to purge offensive reviews or edit and approve them is entirely up to you.

The Customer Reviews feature can add a sense of community to your store, as well as a new dimension of organic marketing and quality assurance for your products and services.

Group 65Go to Volusion All Collections Get Feedback Customer Reviews of Your Products Let customers write reviews of your products so you can keep sales going strong. We run on Intercom. Scalable shipment tracking solution for eCommerce businesses.A map with keys (objective field identifiers) and with values (dataset identifiers).

Those datasets contain a timestamp column, a copy the original data of the objective field, and one column per model with the values that that particular submodel computes for the objective time series.

ETS error type parameter: 1 (additive), 2 (multiplicative) The results of the ETS fits. A dictionary with an entry per field in your data. Each entry is a list of maps. Integerinterval: The interval between each forecast value.

ETS trend type parameter: 0 (none), 1 (additive), 2 (multiplicative) The Akaike Information Criterion score. The Small-sample corrected AIC score. Only included for ets models where trend is not none. The Bayesian Information Criterion score. The final fitted state for the ETS model with the following entries: b - Trend state. Floatl - Level state. Float s - Seasonal state. Only for ets models with seasonality. Only included for ets models where seasonality is not none.

The initial fitted state for the ETS model with the following entries: b - Trend state. An abbreviated name which uniquely specifies the ETS model type, using the classification system from Hyndman. For example, the value "M,Ad,N" specifies the ETS model type with multiplicative error, additive damped trend, and no seasonality.

Also called the coefficient of determination. A measure of how much better the model is than predicting the mean of the test set. See The values of the time series predicted by running the ETS model forward in time without noise. Timing information of all objectives fields to be used to generate the timestamp field in the forecast results. A status code that reflects the status of the timeseries creation.

Example: true category optional The category that best describes the deepnet. Example: false name optional The name you want to give to the new deepnet. Example: true seed optional A string to be hashed to generate deterministic samples. Example: true tags optional A list of strings that help classify and retrieve the deepnet. Example: "000005" beta1 optional A number between 0 and 1 specifying the exponential decay rate for the 1st moment estimates.

Used in the adam algorithm. Example: 2 decay optional A number between 0 and 1 specifying the decay computation.

Used in the ftrl and adagrad algorithms. Used in the ftrl algorithm. Example: "l1" category filterable, sortable, updatable One of the categories in the table of categories that help classify this resource according to the domain of application. This will be 201 upon successful creation of the deepnet and 200 afterwards.For further details of our complaints policy and to make a complaint please click here.

You can change this and find out more by following this link Close document. The Sun website is regulated by the Independent Press Standards Organisation (IPSO) Our journalists strive for accuracy but on occasion we make mistakes. We recommend moving this block and the preceding CSS link to the HEAD of your HTML file.

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