Lincoln Error
Posted in Uncategorized on 07/30/2005 02:34 am by admin
Lincoln Error
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Having the courage to bounce back strong after an unexpected setback is an essential quality and character trait to have in this unpredictable economic climate. More people are experiencing being blind sided by financial challenges as a result of job loss, business downsizing and credit pull backs from banks.
All this makes it more necessary than ever to have the ability to bounce back. More people find themselves in the position to have to start over. The ones who make it with the least wear and tear start with a strong desire and a plan of action.
People on the outside looking in often assume the successful achieved that status on the first try. This is seldom the case. Walt Disney for example experienced numerous setbacks that would have made the average person quit. For example:
1. Multiple bankruptcies!
2. Being told no for years as he tried to build a Theme Park!
3. Being laughed at when introducing a talking mouse cartoon to studio executives!
But in the end we now have one of the most successful examples in American history. Plus, we have a name synonomous with award winning motion pictures and Fun times, Disney.
Another famous American figure experienced the following setbacks, for example...
1831 - He lost his job.
1832 - He was defeated in a run for Illinois State Legislature.
1833 - He failed in business.
1834 - He was elected to Illinois State Legislature (success).
1835 - His sweetheart died.
1836 - He had nervous breakdown.
1838 - He was defeated in run for Illinois House Speaker.
1843 - He was defeated in run for nomination for U.S. Congress.
1846 - He was elected to Congress (success).
1848 - He lost re-nomination.
1849 - He was rejected for land officer position.
1854 - He was defeated in run for U.S. Senate.
1856 - He was defeated in run for nomination for Vice President.
1858 - Again he was defeated in run for U.S. Senate.
1860 - Finally he was Elected President (most successful comebacks in history).
His name, Abraham Lincoln. So, what's your excuse for giving up after a setback? What was the difference between Disney, Abraham Lincoln and countless others who have achieved success and the rest who fail? It was their ability to fail forward and improve with each failure instead of getting discouraged enough to quit.
One of the greatest examples of failing forward came from Thomas Edison, who failed forward over 10,000 times. When asked what kept him going after so many failures? His reply? "Now I know 10,000 ways that won't work."
Here's 3 Powerful Tips That Will Help Anyone Fail Forward and Bounce Back Strong.
1. Reflect.
This is an important action to take after a setback. Most people make the mistake of brooding, blaming or trying to cover up the pain by drinking or doing some other self-destructive behavior.
When you reflect you take the time to think quietly and calmly the following 3 points.
A. What did I do wrong?
B. How could I have avoided it?
C. How can I move on?
2. Avoid Making the Same Mistakes Twice.
It's a huge error trying to go through life not making mistakes. Most successful people make a ton of them by their own admission. It comes with the territory of high achievement. The key is to avoid making the same mistakes over and over. You do this by analyzing, managing and establishing a plan to keep from making the mistakes again and improving it until it's accomplished.
3. Locate Failing Forward and Bounce Back Roll Models.
Nothing can help a person bounce back from setbacks than seeing physical examples of it. Make it a point to seek out people who have bounced back from setbacks. These people are not that hard to find, often it just requires someone who has succeeded at something. Why? Because most people you label as successful have had to overcome a setback of some kind on their way to the top.
Don't stop reading now, get more powerful ways to fail forward and succeed despite setbacks, go to TheNicheMan.com
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Quantization Error $54.86 High Quality Content by WIKIPEDIA articles In source coding (analogtodigital conversion and compression), the quantization error is the difference between the actual analog value and quantized digital value due is called quantization error. This error is due either to rounding or truncation. The error is sometimes considered as an additional random signal called quantization noise. Quantization noise is a model of quantization error introduced by quantization in the analogtodigital conversion (ADe in telecommunication systems and signal processing. It is a rounding error between the analog input voltage to the ADC and the output digitized value. The noise is nonlinear and signaldependent. It can be modelled in several different ways. Author: Surhone, Lambert M./ Timpledon, Miriam T./ Marseken, Susan F. Binding Type: Paperback Number of Pages: 72 Publication Date: 2010/06/21 Language: English Dimensions: 5.98 x 9.01 x 0.17 inches |
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C2 Error $71.7 High Quality Content by WIKIPEDIA articles A C2 error is a read error of a compact disc. C2 errors can be to a degree recovered by the hardware error detection and correction scheme. A CD drive can have extraction errors when the data on the disc is not readable due to scratches or smudges. The drive can compensate by supplying a best guess of what the missing data was, then supplying the missing data. C2 error correction is an analysis over many interleaved frames, an improvement over C1 error correction, which analyzed just one frame, resulting in more accurate data correction. C2 error correction codes are also used by the Digital Audio Tape (DAT) format. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 92 Publication Date: 2010/12/04 Language: English Dimensions: 6.00 x 9.02 x 0.22 inches |
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Error Message $116.3 Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. An error message is information displayed when an unexpected condition occurs, usually on a computer or other device. On modern operating systems with graphical user interfaces, error messages are often displayed using dialog boxes. Error messages are used when user intervention is required, to indicate that a desired operation has failed, or to relay important warnings (such as warning a computer user that they are almost out of hard disk space). Error messages are seen widely throughout computing, and are part of every operating system or computer hardware device. Proper design of error messages is an important topic in usability and other fields of humancomputer interaction. Author: Miller, Frederic P./ Vandome, Agnes F./ McBrewster, John Binding Type: Paperback Number of Pages: 184 Publication Date: 2011/02/14 Language: English Dimensions: 5.98 x 9.02 x 0.42 inches |
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RoundOff Error $70.1 High Quality Content by WIKIPEDIA articles A roundoff error, also called rounding error, is the difference between the calculated approximation of a number and its exact mathematical value. Numerical analysis specifically tries to estimate this error when using approximation equations and/or algorithms, especially when using finite digits to represent real numbers (which in theory have infinite digits). This is a form of quantization error. When a sequence of calculations subject to rounding error are made, errors may accumulate in certain cases known as illconditioned, sometimes to such an extent as to dominate the calculation and make the result meaningless. Increasing the number of digits allowed in a representation reduces the magnitude of possible roundoff errors, but any representation limited to finitely many digits will still cause some degree of roundoff error for uncountably many real numbers. This kind of error is unavoidable for conventional representations of numbers, but can be reduced by the use of guard digits. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 102 Publication Date: 2010/08/15 Language: English Dimensions: 5.98 x 9.00 x 0.24 inches |
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ANotB Error $79.66 High Quality Content by WIKIPEDIA articles High Quality Content by WIKIPEDIA articles AnotB error (also known as stage 4 error or perseverative error ) is a phenomenon uncovered by the work of Jean Piaget in his theory of cognitive development of children. The AnotB error is a particular error made by young children during substage 4 of their sensorimotor stage. A typical task goes like this: An experimenter hides an attractive toy under box A within the babys reach. The baby searches for the toy, looks under box A, and finds the toy. This activity is usually repeated several times (always with the researcher hiding the toy under box A ). Then, in the critical trial, the experimenter moves the toy under box B, also within easy reach of the baby. Babies of 10months or younger typically make the perseverance error, meaning they look under box A even though they saw the researcher move the toy under box B, and box B is just as easy to reach. This demonstrates a lack of, or incomplete, schema of object permanence. Children of 12months or older typically do not make this error. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 106 Publication Date: 2010/08/19 Language: English Dimensions: 5.98 x 9.00 x 0.25 inches |
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Probability of Error $71.7 High Quality Content by WIKIPEDIA articles In statistics, the term error arises in two ways. Firstly, it arises in the context of decision making, where the probability of error may be considered as being the probability of making a wrong decision and which would have a different value for each type of error. Secondly, it arises in the context of statistical modelling (for example regression) where the models predicted value may be in error regarding the observed outcome and where the term probability of error may refer to the probabilities of various amounts of error occurring. In hypothesis testing in statistics, two types of error are distinguished. Type I errors which consist of rejecting a null hypothesis that is true; this amounts to a false positive result. Type II errors which consist of failing to reject a null hypothesis that is false; this amounts to a false negative result. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 92 Publication Date: 2010/11/26 Language: English Dimensions: 6.00 x 9.02 x 0.22 inches |
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Measurement Error $134.95 The conference, 'Measurement Error: Econometrics and Practice' was recently hosted by Aston University and organised jointly by researchers from Aston University and Lund University to highlight the enormous problems caused by measurement error in Economic and Financial data which often go largely unnoticed. Thanks to the sponsorship from Eurostat, a number of distinguished researchers were invited to present keynote lectures. Professor Arnold Zellner from University of Chicago shared his knowledge on measurement error in general; Professor William Barnett from the University of Kansas gave a lecture on implications of measurement error on monetary policy, whilst Dennis Fixler shared his knowledge on how statistical agencies deal with measurement errors. This volume is the result of the selection of high-quality papers presented at the conference and is designed to draw attention to the enormous problem in econometrics of measurement error in data provided by the worlds leading statistical agencies; highlighting consequences of data error and offering solutions to deal with such problems. This volume should appeal to economists, financial analysts and practitioners interested in studying and solving economic problems and building econometric models in everyday operations. |
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Soft Error $87.62 High Quality Content by WIKIPEDIA articles In electronics and computing, an error is a signal or datum which is wrong. Errors may be caused by a defect, usually understood either to be a mistake in design or construction, or a broken component. A soft error is also a signal or datum which is wrong, but is not assumed to imply such a mistake or breakage. After observing a soft error, there is no implication that the system is any less reliable than before. If detected, a soft error may be corrected by rewriting correct data in place of erroneous data. Highly reliable systems use error correction to correct soft errors on the fly. However, in many systems, it may be impossible to determine the correct data, or even to discover that an error is present at all. In addition, before the correction can occur, the system may have crashed, in which case the recovery procedure must include a reboot. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 116 Publication Date: 2010/10/17 Language: English Dimensions: 9.02 x 5.98 x 0.28 inches |
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Refractive Error $63.73 Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A refractive error, or refraction error, is an error in the focusing of light by the eye and a frequent reason for reduced visual acuity. An eye that has no refractive error when viewing a distant object is said to have emmetropia or be emmetropic. An eye that has a refractive error when viewing a distant object is said to have ametropia or be ametropic. Refractive errors are frequently categorized as spherical errors and cylindrical errors: Spherical errors occur when the optical power of the eye is either too large or too small to focus light on the retina. People with refraction error frequently have blurry vision. When the optics are too powerful for the length of the eyeball (this can arise from a cornea with too much curvature or an eyeball that is too long), one has myopia. Author: Miller, Frederic P./ Vandome, Agnes F./ McBrewster, John Binding Type: Paperback Number of Pages: 72 Publication Date: 2011/02/26 Language: English Dimensions: 5.98 x 9.02 x 0.17 inches |
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Error Floor $74.88 High Quality Content by WIKIPEDIA articles The error floor is a phenomenon encountered in modern iterated sparse graphbased error correcting codes like LDPC codes and turbo codes. When the bit error ratio (BER) curve is plotted for conventional codes like Reed Solomon codes under algebraic decoding or for convolutional codes under Viterbi decoding, the curve steadily decreases as the SNR condition becomes better. For LDPC codes and turbo codes there is a point after which the curve does not fall as quickly as before, in other words, there is a region in which performance flattens. This region is called the error floor region. The region just before the sudden drop in performance is called the waterfall region. Author: Surhone, Lambert M./ Tennoe, Mariam T./ Henssonow, Susan F. Binding Type: Paperback Number of Pages: 100 Publication Date: 2010/10/03 Language: English Dimensions: 6.00 x 9.02 x 0.24 inches |


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