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Use our knowledge, experience and expertise and win big.Also a bit more time (a day perhaps) in the north east of the country would have been ideal.

I dropped by their office in Reykjavik at the end of the tour (a little tricky to find as it is tucked away on the edge of town) and was pleasantly surprised by a request to do a brief video of our tour highlights for other travellers.

I received a beautiful hardcover book of Icelandic photographs for my trouble. Iceland is a Josie, Puerto Rico Iceland Grand Tour, July 2015 16 amazing days in Iceland Not only did Nordic Visitor delivered on everything that was needed, all the extra tours that were booked by them exceeded our expectations.

Spent 16 days on a self-drive tour of Iceland including west fjords. Every detail was taken care of, the car was excellent, the accommodations that were booked were more than what was needed. They gave us a telephone and had regular contact with us. Assisted us every time we needed any assistance. Will recommend this company and will be more than happy to use again in the future. Tip to travelers: Do everything with lots of time. We planned this trip more than 7 months in advance.

Find about weather condition, climate and clothing needs. Overall, we had a wonderful time and saw a lot of beautiful scenery.

Overall we got exactly what we came to see. The itinerary was exactly as described, all buses,trains and hotels were scheduled perfectly. The phone was a great touch and very much appreciated. The tour was amazing and let me see Norway in a way that I had not imagined. The hotel personnel were very helpful, and the breakfasts were amazing. I thoroughly enjoyed the fjord tour from Flam to Gudvangen.

It was a great tour. From booking to the final date of the tour, everything was great. Thank you for an amazing experience. Cicci, was wonderful from the beginning, she was very patient with us while we made arrangements for our specialized tour.

I felt taken care of at every stop. I know how much work it is to make arrangements so I really appreciated all her work. Thank you Cicci for a trip of a lifetime. Excellent hotels, great location. Sirry was very helpful. Very informative, made it easy to do a self guided tour. We were very impressed with everything you did for us.NOTE: Tap directly on the server address displayed in the terminal screen of the PhoneGap Developer app to change it to match yours. The value filled in by default is only a sample.

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StackoverflowFor PhoneGap specific questions. Get Started NowFind out how to install PhoneGap, then create and preview an app on your device almost as fast as a robot could do it. Read Our BlogHave you read our latest blog post yet. If not, go now there is solid gold in that post. Use of this website signifies your agreement to the Terms of Use and Privacy Policy and Cookies. The intention of this simulation framework is to first and foremost, generate and examine different Tangle environments under different conditions.

These simulations help us to further improve and optimize the IOTA Tangle itself, but to also show the resiliency of the Tangle against attacks or to study new potential attacks. With the IOTA Foundation officially being set up, we intend to take this research to the next level and will start sharing more regular updates from the IOTA Research Team. This work on the simulation framework has been lead by Alon and I on two different fronts.

In this blog post, with the accompanying paper, we will share some of the first results gathered from these simulations. The simulation software itself is currently being prepared for a public release. Learn moreGet updatesGet updates. Minnesota returns to non-conference play Saturday with its first SEC road game in 16 seasons. Nebraska opened up a 16-point lead early in the second half en route to a 78-68 win over No.

Nate Mason scored a season-high 26 points as No. Location Bud Walton Arena - Fayetteville, Ark.For much of that time, there have been Mini-Papers and the Youden Address with technical content.

However, this has changed with the 2015 rebranding as Statistics Digest, which contains more technical content such as regular columns by some of the leading names in the field of statistics for quality. Please take a look at Statistics Digest and tell us what you think of the changes.

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Etiam et libero nec purus iaculis feugiat. In eu massa eget leo malesuada porttitor. Read MoreLorem ipsum dolor sit amet, consectetuer adipiscing elit. Read MoreLearning Library: free articles, presentations, videos. Aenean laoreet, lacus ut sollicitudin adipiscing, justo neque cursus elit, nec vestibulum eros nisl vitae diam. Duis cursus dui at neque. Winners of the 2016 Performance and Awards Recognition (PAR)Introducing the Statistics DigestThe ASQ Statistics Division has been publishing a newsletter with the latest in Division news since winter 1980.

Murali Haran leads an interdisciplinary team to develop methods for predicting the future of Antarctic ice sheets Statististicians participate in a study of mutations in mitochondrial DNA. Penn State researchers believe ants can offer human-disease insights For information about our Professional Graduate Programs.

Wishing you and yours the best of the Holiday Season. The Faculty, Staff, and students of the Statistics Department. Looking forward to Spring Semester. Statistics News Statistics News Runze Li named 2017 AAAS Fellow.

Pat Buchanan receives the C. Noll Award for Excellence in Teaching 2017 Clifford C. Clogg Memorial Lecture Presented by Glenn Firebaugh 102 Thomas Building, University Park, PA 25 September 2017 05:00 PM 2017 Bioinformatics and Genomics Retreat Life Sciences Bldg 22 September 2017 03:15 PM Ephraim Hanks awarded the Early Investigator Award at JSM Read more Statistics News 2017 Marker Lecture Presented by Jianqing Fan Missed the Marker Lecture.

From basic t tests and standard error calculations to Cox proportional hazards models and propensity score matching, we rely on statistics to give answers to scientific problems. Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. Many of the errors are prevalent in vast swaths of the published literature, casting doubt on the findings of thousands of papers.

Statistics Done Wrong assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of scientific practice. If you find any errors or typos, or want to suggest other popular misconceptions, contact me. If you find this website useful, consider buying the book. An essential book for any scientist, data scientist, or statistician.A member of the AICPA Commission on Financial Literacy, NJCPA Content Advisory Board, and NJCPA Emerging Leaders Council, Sean has published dozens of articles on technology, finance, and personal finance issues.

Sean has published multiple books on corporate finance, several personal finance books, and is an avid user of technology and social media for educational purposes. The opinions expressed here by Inc. A great thing, especially for Millennials and other entrepreneurs focused on the bottom line, is that the vast majority of social media tools are free to use. Another wrinkle that can complicate your efforts to get the most for your social media dollars is that many small businesses do not put together a social media strategy that works for business.

These suggestions and ideas are certainly not meant to be exhaustive, but should give an idea of how to get the most out of social for your business, and to do so in a way that is also friendly to your bottom line.

Social media encompasses a variety of options, not all of which are going to be equally as helpful for your business. There is a lot of information out there dissecting what types of demographics are on which types of platforms, but generally speaking, if your business has a Facebook and Twitter presence you are in good shape.

Few things are more depressing for consumers and customers than to look for a business on social media, to see that they do have a social media presence, but that the platforms have not been updated.

Virtually every professional group has an organizational association, but even for entrepreneurs and small business owners there are people and organizations you should definitely engage with on social media. There is no shame in observing what your competition is doing, making it your own, and customizing it for your business. Taking the approach to social media like everything else your business does might seem a bit odd at first, but it actually makes perfect sense.

Social media can, unfortunately, turn into an activity that can drain productivity and energy from your business if you let it. You must obtain from the copyright holder consent to post this image at Inc. If you do not have express consent to use an image, do not post it. You agree to be held responsible for any infringement claim made with respect to any image you post to Inc.

Sign Up for Inc. Sign up for Inc. ZIPCODE Today's Must Reads Startup Inc. NewslettersSign up for Inc. Today's Must Reads The news - from all over the web - entrepreneurs need to know now. Startup News, trends, and tactics to help you launch your business idea today. READ THIS ARTICLE ON Startup inc.We apply the term dataset transformations to the set of operations to create new modified versions of your original dataset or just transformations to abbreviate.

Keep in mind that you can sample, filter and extend a dataset all at once in only one API request. Also when cloning a dataset, you can modify the names, labels, descriptions and preferred flags of its fields using a fields argument with entries for those fields you want to change. See a description for all the arguments below.

Dataset Cloning Arguments Argument TypeDescription category optional Integer The category that best describes the dataset. See the category codes for the complete list of categories. Example: "category": 1 description optional String A description of the dataset up to 8192 characters long. Example: "description": "This is a description of my new dataset" fields optional Object Updates the names, labels, and descriptions of the fields in the new dataset.

An entry keyed with the field id of the original dataset for each field that will be updated. Specifying a range of rows. As illustrated in the following example, it's possible to provide a list of input fields, selecting the fields from the filtered input dataset that will be created.

Filtering happens before field picking and, therefore, the row filter can use fields that won't end up in the cloned dataset.

See the Section on filtering sources for more details. Each new field is created using a Flatline expression and optionally a name, label, and description. A Flatline expression is a lisp-like expresion that allows you to make references and process columns and rows of the origin dataset. See the full Flatline reference here. Let's see a first example that clones a dataset and adds a new field named "Celsius" to it using an expression that converts the values from the "Fahrenheit" field to Celsius.

A new field can actually generate multiple fields.

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In that case their names can be specified using the names arguments. In addition to horizontally selecting different fields in the same row, you can keep the field fixed and select vertical windows of its value, via the window and related operators. For example, the following request will generate a new field using a sliding window of 7 values for the field named "Fahrenheit" and will also generate two additional fields named "Yesterday" and "Tomorrow" with the previous and next value of the current row for the field 0.

The list of values generated from each input row that way constitutes an output row of the generated dataset. See the table below for more details. See the Section on filtering rows for more details. Example: "description": "This field is a transformation" descriptions optional Array A description for every of the new fields generated.

Example: "fields": "(window Price -2 0)" label optional Array Label of the new field. Example: "label": "New price" labels Array Labels for each of the new fields generated. Example: "name": "Price" names optional Array Names for each of the new fields generated.

Basically, a Flatline expresion can easily be translated to its json-like variant and vice versa by just changing parentheses to brackets, symbols to quoted strings, and adding commas to separate each sub-expression. For example, the following two expressions are the same for BigML. If you specify both sampling and filtering arguments, the former are applied first. As with filters applied to datasources, dataset filters can use the full Flatline language to specify the boolean expression to use when sifting the input.

Flatline performs type inference, and will in general figure out the proper optype for the generated fields, which are subsequently summarized by the dataset creation process, reaching then their final datatype (just as with a regular dataset created from a datasource).

In case you need to fine-tune Flatline's inferences, you can provide an optype (or optypes) key and value in the corresponding output field entry (together with generator and names), but in general this shouldn't be needed.

Samples Last Updated: Monday, 2017-10-30 10:31 A sample provides fast-access to the raw data of a dataset on an on-demand basis. When a new sample is requested, a copy of the dataset is stored in a special format in an in-memory cache.Applications consisting only of routine calculations are not of interest to the journal.

Papers providing important original contributions to methodological statistics inspired in applications are considered for this section. Papers dealing, directly or indirectly, with computational and technical elements are particularly encouraged.

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Innovative algorithmic developments are also of interest, as are the computer programs and the computational environments that implement them as a complement. The journal consists, preponderantly, of original research. Occasionally, review and short papers from experts are published, which may be accompanied by discussions.

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Special issues and sections within important areas of research are occasionally published. The journal publishes as a supplement The Annals of Computational and Financial Econometrics. Advertising - Careers - Feedback - Site map - Terms and Conditions - Privacy PolicyCookies are used by this site. Menu Search Search Search in: All Webpages Books Journals Home Journals Econometrics and Statistics ISSN: 2452-3062 Econometrics and Statistics Supports Open Access Editors: E. Colubi: View Editorial Board Submit Your Paper Enter your login details below.

This free service is available to anyone who has published and whose publication is in Scopus. Publishing Campus Author Services Try out personalized alert features Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics.

Read more Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics. Ahlgren View All Articles Recent Articles Recently published articles from Econometrics and Statistics Most Cited Articles The most cited articles published since 2012, extracted from Scopus.

Recent Open Access Articles The latest Open Access articles published in Econometrics and Statistics. Advertising - Careers - Feedback - Site map - Terms and Conditions - Privacy Policy Cookies are used by this site. Probably the most often used descriptive statistic is the mean. The mean is a particularly informative measure of the "central tendency" of the variable if it is reported along with its confidence intervals. As mentioned earlier, usually we are interested in statistics (such as the mean) from our sample only to the extent to which they can infer information about the population.

The confidence intervals for the mean give us a range of values around the mean where we expect the "true" (population) mean is located (with a given level of certainty, see also Elementary Concepts). Note that the width of the confidence interval depends on the sample size and on the variation of data values.

The larger the sample size, the more reliable its mean. The larger the variation, the less reliable the mean (see also Elementary Concepts). The calculation of confidence intervals is based on the assumption that the variable is normally distributed in the population. Shape of the Distribution, Normality. An important aspect of the "description" of a variable is the shape of its distribution, which tells you the frequency of values from different ranges of the variable.

Typically, a researcher is interested in how well the distribution can be approximated by the normal distribution (see the animation below for an example of this distribution) (see also Elementary Concepts). Simple descriptive statistics can provide some information relevant to this issue.

For example, if the skewness (which measures the deviation of the distribution from symmetry) is clearly different from 0, then that distribution is asymmetrical, while normal distributions are perfectly symmetrical. More precise information can be obtained by performing one of the tests of normality to determine the probability that the sample came from a normally distributed population of observations (e.

However, none of these tests can entirely substitute for a visual examination of the data using a histogram (i.


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