Introduction to embryology of angiosperms
By: Material type:
TextLanguage: English Series: McGraw Hill publications in the botanical sciencesPublication details: New York McGraw Hill 1950Description: xx,453p. cmSubject(s): DDC classification: - I9B,5:7, J0;3-;4
Textual
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Textual
|
Central Science Library | Central Science Library | I9B,5:7 J0;3-;4 (Browse shelf(Opens below)) | Available | SL0338951 |
There are no comments on this title.
Log in to your account to post a comment.
-
201
Introduction to time series analysis and forecasting
by Montgomery Douglas C -
202
Introduction to time series analysis and forecasting
by Montgomery Douglas C. -
203
Introduction to time series analysis and forecasting
by Montgomery Douglas C. -
204
Latent class and latent transition analysis with applications in the social, behavioral, and health sciences
by Collins Linda M -
205
Latent variable Models and factor Analysis
by Bartholomew David; Knott Martin; Moustaki Irini -
206
Least absolute deviations: theory, applications and algorithms
by Bloomfield Peter -
207
Limit theorems for sums of exchangeable random variables
by Taylor Robert L -
208
Linear model theory: univariate, multivariate and mixed models
by Muller Keith E -
209
Linear models
by Searle Shayle R -
210
Linear models and time series analysis
by Paolella Marc S. -
211
Linear models and time-series analysis: Regression, anova, arma and garch
by Paolella Marc S -
212
Linear regression analysis
by Seber George A F -
213
Linear regression analysis
by Seber George A F -
214
Linear statistical inference and its applications
by Rao C Radhakrishna -
215
Linear statistical inference and its applications
by Rao C Radhakrishna -
216
Linear statistical inference and its applications
by Rao C Radhakrishna -
217
Linear statistical models
by Stapleton James H -
218
Logic of decision
by Jeffrey RC -
219
Loss models: from data to decisions
by Klugman Stuart A -
220
Macroeconomics theory
by BOHM Volker -
221
Markov chains
by Freedman David -
222
Markov decision processes: Discrete stochastic dynamic programming
by Puterman Martin L -
223
Mathematical foundations of the calculus of probab
by Neveu Jacques -
224
Mathematical statistics: Basic ideas and selected topics
by Bickel Peter J -
225
Mathematical statistics: Basic ideas and selected topics
by Bickel Peter J -
226
Mathematics of chance
by Andel Jiri -
227
Matrix algebra for applied economics
by Searle Shayle R -
228
Matrix algebra for applied economics
by Searle Shayle R -
229
Matrix analysis for statistics
by Schott James R -
230
Matrix analysis for statistics
by Schott James R -
231
Matrix differential calculus
by Neudecker Heinz -
232
Matrix differential calculus
by Neudecker Heinz -
233
Matrix differential calculus with applications in statistics and econometrics
by Magnus Jan R -
234
Meta analysis:a guide to calibrating and combining statistical evidence
by Kulinskaya Elena -
235
Methods and applications of linear models: regression and the analysis of variance
by Hocking Ronald R -
236
Methods and applications of linear models: regression and the analysis of variance
by Hocking Ronald R -
237
Methods and applications of linear models: regression and the analysis of variance
by Hocking Ronald R -
238
Methods for statistical data analysis of multivariate observations
by Gnanadesikan R -
239
Methods of multivariate analysis
by Rencher Alvin C. -
240
Methods of multivariate analysis
by Rencher Alvin C -
241
Methods of multivariate analysis
by Rencher Alvin C -
242
Methods of Multivariate analysis
by Rencher Alvin C; Christensen William F -
243
Mixed models : theory and applications with R
by Demidenko Eugene -
244
Mixtures
-
245
Model selection
by Linhart H -
246
Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods
by De Rocquigny Etienne -
247
Models for probability and statistical inference:theory and applications
by Stapleton James H -
248
Models in regressio and related topics
by Sprent Peter -
249
Modern mathematical statistics
by Dudewicz Edward J -
250
Modern regression methods
by Ryan Thomas P
Introduction to embryology of angiosperms
APA
Maheshwari P, . (1950). Introduction to embryology of angiosperms. New York: McGraw Hill.
Chicago
Maheshwari P, . 1950. Introduction to embryology of angiosperms. New York: McGraw Hill.
Harvard
Maheshwari P, . (1950). Introduction to embryology of angiosperms. New York: McGraw Hill.
MLA
Maheshwari P, . Introduction to embryology of angiosperms. New York: McGraw Hill. 1950.
