1. Bootstrapping is founding and running a company using only personal finances or operating revenue
2. Bootstrapping is one of most effective and inexpensive ways to ensure a business' positive cash flow
3. Bootstrapping means less money has to be borrowed and interest costs are reduced.
4. Bootstrapping is a statistical technique that falls under the broader heading of resampling
5. Bootstrapping provides a method other than confidence intervals to estimate a population parameter.
6. Bootstrapping is the practice of self-financing a business
7. The term "Bootstrapping" comes from the iconic expression "to pull oneself up by one's own bootstraps."
8. Bootstrapping is a statistical procedure that resamples a single dataset to create many simulated samples
9. "Bootstrapping" comes from the term "pulling yourself up by your own bootstraps." That much you can get from Wikipedia.
10. Bootstrapping allows an entrepreneur to fully focus on the key aspects of the business, such as sales, product development, etc
11. Bootstrapping is a powerful statistical technique
12. The account doing the Bootstrapping is always trusted
13. Bootstrapping synonyms, Bootstrapping pronunciation, Bootstrapping translation, English dictionary definition of Bootstrapping
14. Bootstrapping adds variability into samples that mimics normal biological variation and can be thought of as insurance that our samples better represent the variation in groups, which is a useful feature for future classifications.
15. Bootstrapping Brings Out the Best in Entrepreneurs
16. Bootstrapping is a tested way to become a better business person, says serial entrepreneur Matt Clark
17. Bootstrapping is a process in which simple language is used to translate more complicated program which in turn may handle for more complicated program
18. Bootstrapping refers to the efforts of an entrepreneur to start a business using his own assets as the source of capital
19. Bootstrapping can also refer to a highly-leveraged transaction when an investor acquires a controlling interest in a company, financing the transaction by using the assets of the company as collateral for the loan.
20. The basic process for Bootstrapping is as follows: Take k repeated samples with replacement from a given dataset
21. Bootstrapping in R is a very useful tool in statistics
22. Bootstrapping comes in handy whenever there is a doubt
23. Generally, Bootstrapping in R follows the same basic steps: First, we resample a given data, set a specified number of times.
24. Bootstrapping meaning: the process of starting and developing a business by using a lot of effort and no investment by…
25. Bootstrapping is a term used in business to refer to the process of using only existing resources, such as personal savings, personal computing equipment, and garage space, to start and grow a company
26. The IBM® SPSS® Bootstrapping module makes Bootstrapping, a technique for testing model stability, easier
27. Bootstrapping analyzes the genesis of personal computing from both technological and social perspectives, through a close study of the pathbreaking work of one researcher, Douglas Engelbart
28. Bootstrapping is a method of sample reuse that is much more general than cross-validation 
29. Advice for start-ups, entrepreneurs, and small business owners on financing a business by Bootstrapping: managing costs, being frugal, controlling business costs, being creative with company
30. Bootstrapping is a force function for creativity and breakthrough
31. In order to get the most out of Bootstrapping, you need to learn to become an expert in scarce resource utilization
32. Bootstrapping.dk is a new independent digital media focusing on Denmark’s future
33. Bootstrapping.dk writes for and about the people changing society, the entrepreneurs, the startups and the high technology development challenging welfare state, public institutions and industry changing and challenging the way we coexist and live together as
34. Bootstrapping can be a very useful tool in statistics and it is very easily implemented in
35. Bootstrapping comes in handy when there is doubt that the usual distributional assumptions and asymptotic results are valid and accurate.
36. Bootstrapping is a nonparametric method which lets us compute estimated standard errors, confidence intervals and hypothesis testing.
37. Parametric Bootstrapping involves assuming that the target model is correct (i.e., a good approximation to the process generating the data) and then generating alternative sets of data subject to the constraints that the s c 's are fixed
38. This PDF is an in-depth guide about Bootstrapping and bootstrapped confidence intervals in SPSS
39. Bootstrapping is a general approach to statistical inference based on building a sampling distribution for a statistic by resampling from the data at hand
40. The term ‘Bootstrapping,’ due to Efron (1979), is an allusion to the expression ‘pulling oneself up by one’s bootstraps’ – in this case, using the sample data as
41. Bootstrapping is a technique for inferential statistics
42. Bootstrapping is useful for calculating statistics like mean, median, standard deviation, confidence intervals, etc
43. Bootstrapping is widely used in the compilation development
44. Bootstrapping is used to produce a self-hosting compiler
45. Bootstrapping is a way for new businesses to get up and running without taking external investors ' financing
46. Bootstrapping definition: the process of starting and developing a business by using a lot of effort and no investment by…
47. As with the traditional approach, a sample of size n is drawn from the population within the Bootstrapping approach.Let us call this sample S.Then, rather than using theory to determine all possible estimates, the sampling distribution is created by resampling observations with replacement from S, m times, with each resampled set having n observations.
48. The Advantages And Risks Of Bootstrapping
49. Bootstrapping is a very effective form of starting a business
50. Conclusion – Bootstrapping Examples
51. The technique of Bootstrapping may be a simple one, but determining the real yield curve and then smoothening it out can be a very tedious and complicated activity that involves lengthy mathematics primarily using bond prices, coupon rates, par value and the number of compounding per year.
52. What is the Bootstrapping method? Bootstrapping is a method for constructing a zero-coupon yield curve from the prices of a set of coupon-bearing products.As you may know Treasury bills offered by the government are not available for every time period hence the Bootstrapping method is used mainly to fill in the missing figures in order to derive the yield curve.
53. Bootstrapping is a force function for creativity and breakthrough
54. In order to the get the most out of Bootstrapping, you need to learn to become an expert in scarce resource utilization.
55. Bootstrapping is the process of loading a set of instructions when a computer is first turned on or booted
56. With a little luck and a lot of pluck, Bootstrapping a business can be both financially and emotionally rewarding
The word bootstrapping has come to be used for a variety of other self-starting processes. It describes the creation of complex software programs in successive and interdependent stages. The term "booting up" for starting up a computer's operating system may come from bootstrapping.
Bootstrapping has its origin in the early 19th century with the expression "pulling up by one's own bootstraps.". Initially, it implied an obviously impossible feat. Later, it became a metaphor for achieving success with no outside assistance.
Bootstrapping is a statistical technique that falls under the broader heading of resampling. This technique involves a relatively simple procedure but repeated so many times that it is heavily dependent upon computer calculations. Bootstrapping provides a method other than confidence intervals to estimate a population parameter.
The bootstrap method is a resampling technique used to estimate statistics on a population by sampling a dataset with replacement. It can be used to estimate summary statistics such as the mean or standard deviation.