Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26450999
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 7429736
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. N° de réf. du vendeur 18451005
Quantité disponible : 4 disponible(s)
Vendeur : Vedams eBooks (P) Ltd, New Delhi, Inde
Hardbound. Etat : As New. New. Contents Preface. 1. Distributions and measures of central tendency and dispersion. 2. Probability theory. 3. The Binomial Poisson and normal distributions. 4. Sampling theory. 5. Statistical estimation theory. 6. Statistical decision theory. 7. Small sampling theory. 8. Correlation and regression. 9. Time series and forecasting. 10. Analysis of variance. This textbook may be helpful for the students of B.Sc. and engineering of different universities. Since the nature of the subject in abstract it is introduced through numerical illustration making clear the axioms on which the work is based. The subject matter is presented in a lucid coherent and logical manner. The main text comprises of ten chapters in which essential and introductory material on statistical methods has been included. The first chapter devoted to distributions and measures of central tendency and dispersion the second chapter involve probability theory third chapter describes various distribution in fourth chapter study of sampling theory fifth chapter tells about statistical estimation theory sixth chapter includes statistical decision theory seventh chapter is about small sampling theory eight chapter includes correlation and regression in ninth chapter we can learn time series and forecasting the last chapter describe analysis of variance. 364 pp. N° de réf. du vendeur 61967
Quantité disponible : 1 disponible(s)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA80081819809056
Quantité disponible : 1 disponible(s)