Normal view MARC view ISBD view

Principles and methods of plants biosynthesis

By:

Solbrig Otto T

Material type:

TextLanguage: English Series: Macmillan biology seriesPublication details: London Macmillan 1970Description: xiii, 226p. cmSubject(s):

Botany

DDC classification:

I:11, L0-;2

Item type:

Textual

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Comments ( 0 )

Holdings
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			I:11 L0-;2 (Browse shelf(Opens below))					Available			SL0369487

There are no comments on this title.

to post a comment.

Back to results

1 Applications in Statistical Computing
by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi
2 Basic statistical computing
by Cooke D
3 Basic statistical computing
by Cooke D
4 Computing Boolean Statistical Models
by De Oliveira Paulo Murilo Castro
5 Computing for psychologists statistical analysis using SPSS and Minitab
by West R
6 Computing in statistical science through APL
by Anscombe Francis John
7 Data Analysis for Social Science: a friendly and practical introduction
by Llaudet, Elena
8 Developing statistical software in Fortran 95
by Lemmon David R
9 Elements of statistical computing
by Thisted Ronald A
10 Elements of statistical computing: Numerical computation
by Thisted Ronald A
11 Essential Bayesian Models
by Rao, C.R.
12 Evolutionary Statistical Procedures
by Baragona, Roberto
13 Graphics of large datasets: Visualizing a million
by Unwin Antony
14 Guide to monte carlo simulations in statistical physics
by Landau, David P.
15 Handbook of Graphical models
by Maathuis Marloes Ed.
16 Introducction to statistical computing
by Voss Jochen
17 Lectures on Quantum Computing, Thermodynamics and Statistical Physics
by Nakahara Mikio Et Al
18 Lips-stat: An object oriented environment for statistical computing and dynamic graphics
by Tierney Luke
19 Machine learning:neural and statistical classification
by Michie Donald Ed.
20 Mathematical statistics: Basic ideas and selected topics
by Bickel, Peter J.
21 Mathematical Statistics: basic ideas and selected topics
by Bickel, Peter J.
22 Modern data science with R
by Baumer, Benjamin S
23 Monte carlo strategies in scientific computing
by Liu Jun S
24 Monte Carlo strategies in scientific computing
by Liu Jun S
25 Numerical analysis for statisticians
by Lange Kenneth
26 Numerical, Symbolic and Statistical Computing for Chemical Engineers Using MATLAB
by Ghosh, Pallab
27 Practical Text Mining
by Miner, Gary
28 Practicing R for statistical computing
by Aslam, Muhammad
29 Probability,statistics and queueing theory with computer science applications
by Allen Arnold O
30 Probability,statistics and queueing theory with computer science applications
by Allen Arnold O
31 Probability,statistics and queueing theory with computer science applications
by Allen Arnold O
32 SAS for data analysis
by Marasinghe Mervyn G
33 Statistical analysis of medical data using SAS
by Der Geoff
34 Statistical computing
by Kennedy William J.
35 Statistical computing
by Kennedy William J.
36 Statistical computing
by Kundu Debasis Ed.
37 Statistical computing
by Kundu Debasis Ed.
38 Statistical computing in C++ and R
by Eubank Randall L.
39 Statistical computing with R
by Rizzo Maria L.
40 Statistical computing with R
by Rizzo M L
41 Statistical computing with R
by RIZZO Maria L
42 Statistical computing with R
by RIZZO Maria L
43 Statistical computing with R
by Rizzo Maria L
44 Statistical Computiong in C++ & R
by Eubank Randall L; Kupresanin Ana
45 Statistics and data visualization in climate science with R and python
by Shen, Samuel S. P.
46 Statistics in action
47 Statlib: A statistical computing library
by Brelsford William M
48 System identification and control using hybrid combination of statistical and soft computing techniques
by Bhardwaj Saurabh