On estimation of closeness of binomial and normal distributions
S. V. Nagaev, V. I. Chebotarev

This publication is cited in the following articles:

1. S.P. Glasby, G.R. Paseman, “Maximizing weighted sums of binomial coefficients using generalized continued fractions”, Proceedings of the Royal Society of Edinburgh: Section A Mathematics, 2024, 1  
2. Wills P., Knill E., Coakley K., Zhang Ya., “Performance of Test Supermartingale Confidence Intervals For the Success Probability of Bernoulli Trials”, J. Res. Natl. Inst. Stand. Technol., 125 (2020), 125003    
3. Mattner L. Schulz J., “On Normal Approximations to Symmetric Hypergeometric Laws”, Trans. Am. Math. Soc., 370:1 (2018), 727–748          
4. Zolotukhin A., Nagaev S., Chebotarev V., “On a Bound of the Absolute Constant in the Berry-Esseen Inequality For i.i.D. Bernoulli Random Variables”, Mod. Stoch.-THeory Appl., 5:3 (2018), 385–410          
5. Antoine Lejay, “Estimation of the bias parameter of the skew random walk and application to the skew Brownian motion”, Stat Inference Stoch Process, 21:3 (2018), 539  
6. S. V. Nagaev, V. I. Chebotarev, “On Large Deviations for Sums of i.i.d. Bernoulli Random Variables”, J Math Sci, 234:6 (2018), 816  
7. V. V. Senatov, “On the real accuracy of approximation in the central limit theorem. II”, Siberian Adv. Math., 27:2 (2017), 133–152        
8. Paroissin Ch., “Inference for the Wiener Process With Random Initiation Time”, IEEE Trans. Reliab., 65:1 (2016), 147–157        
9. Cekanavicius V., “Approximation Methods in Probability Theory”, Approximation Methods in Probability Theory, Universitext, Springer International Publishing Ag, 2016, 1–274      
10. Vydas Čekanavičius, Universitext, Approximation Methods in Probability Theory, 2016, 51  
11. Vydas Čekanavičius, Universitext, Approximation Methods in Probability Theory, 2016, 21  
12. Vydas Čekanavičius, Universitext, Approximation Methods in Probability Theory, 2016, 207  
13. S. V. Nagaev, V. I. Chebotarev, A. Ya. Zolotukhin, “A Non-Uniform Bound of the Remainder Term in the Central Limit Theorem for Bernoulli Random Variables”, J Math Sci, 214:1 (2016), 83  
14. Vydas Čekanavičius, Universitext, Approximation Methods in Probability Theory, 2016, 121  
15. Vydas Čekanavičius, Universitext, Approximation Methods in Probability Theory, 2016, 69  
16. Cundill B. Alexander N.D.E., “Sample Size Calculations For Skewed Distributions”, BMC Med. Res. Methodol., 15 (2015), 28